SHOGUN  4.2.0
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class_list.cpp
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1 /*
2  * This program is free software; you can redistribute it and/or modify
3  * it under the terms of the GNU General Public License as published by
4  * the Free Software Foundation; either version 3 of the License, or
5  * (at your option) any later version.
6  *
7  * Written (W) 2009 Soeren Sonnenburg
8  * Copyright (C) 2009 Fraunhofer Institute FIRST and Max-Planck-Society
9  */
10 
11 #include <shogun/lib/common.h>
12 #include <shogun/base/class_list.h>
13 #include <string.h>
14 
73 #include <shogun/clustering/GMM.h>
98 #include <shogun/features/Subset.h>
140 #include <shogun/io/LineReader.h>
141 #include <shogun/io/CSVFile.h>
142 #include <shogun/io/BinaryStream.h>
143 #include <shogun/io/LibSVMFile.h>
144 #include <shogun/io/SimpleFile.h>
145 #include <shogun/io/BinaryFile.h>
147 #include <shogun/io/IOBuffer.h>
148 #include <shogun/io/File.h>
149 #include <shogun/io/UAIFile.h>
151 #include <shogun/io/Parser.h>
167 #include <shogun/neuralnets/RBM.h>
190 #include <shogun/kernel/LogKernel.h>
191 #include <shogun/kernel/AUCKernel.h>
255 #include <shogun/multiclass/QDA.h>
265 #include <shogun/multiclass/MCLDA.h>
270 #include <shogun/multiclass/KNN.h>
320 #include <shogun/structure/GEMPLP.h>
329 #include <shogun/structure/Factor.h>
333 #include <shogun/structure/Plif.h>
338 #include <shogun/machine/Machine.h>
376 #include <shogun/ui/GUIFeatures.h>
377 #include <shogun/ui/GUITime.h>
378 #include <shogun/ui/GUIHMM.h>
379 #include <shogun/ui/GUIDistance.h>
380 #include <shogun/ui/GUIClassifier.h>
382 #include <shogun/ui/GUILabels.h>
383 #include <shogun/ui/GUIStructure.h>
384 #include <shogun/ui/GUIMath.h>
385 #include <shogun/ui/GUIKernel.h>
387 #include <shogun/ui/GUIConverter.h>
401 #include <shogun/statistics/HSIC.h>
407 #include <shogun/statistics/NOCCO.h>
411 #include <shogun/lib/Compressor.h>
412 #include <shogun/lib/WrappedBasic.h>
413 #include <shogun/lib/Hash.h>
414 #include <shogun/lib/Time.h>
418 #include <shogun/lib/Data.h>
421 #include <shogun/lib/Set.h>
422 #include <shogun/lib/BitString.h>
424 #include <shogun/lib/IndexBlock.h>
425 #include <shogun/lib/Cache.h>
426 #include <shogun/lib/DynamicArray.h>
427 #include <shogun/lib/List.h>
428 #include <shogun/lib/Signal.h>
438 #include <shogun/latent/LatentSVM.h>
440 #include <shogun/metric/LMNN.h>
446 #include <shogun/mathematics/Math.h>
483 #include <shogun/converter/Isomap.h>
503 #include <shogun/classifier/LDA.h>
534 #include <shogun/loss/LogLoss.h>
535 #include <shogun/loss/HingeLoss.h>
536 #include <shogun/loss/HuberLoss.h>
538 #include <shogun/loss/SquaredLoss.h>
543 using namespace shogun;
544 
545 #define SHOGUN_TEMPLATE_CLASS
546 #define SHOGUN_BASIC_CLASS
547 static SHOGUN_BASIC_CLASS CSGObject* __new_CNormOne(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNormOne(): NULL; }
548 static SHOGUN_BASIC_CLASS CSGObject* __new_CPNorm(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPNorm(): NULL; }
549 static SHOGUN_BASIC_CLASS CSGObject* __new_CRescaleFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRescaleFeatures(): NULL; }
550 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelPCA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelPCA(): NULL; }
552 static SHOGUN_BASIC_CLASS CSGObject* __new_CBAHSIC(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBAHSIC(): NULL; }
553 static SHOGUN_BASIC_CLASS CSGObject* __new_CSortWordString(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSortWordString(): NULL; }
554 static SHOGUN_BASIC_CLASS CSGObject* __new_CPruneVarSubMean(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPruneVarSubMean(): NULL; }
555 static SHOGUN_BASIC_CLASS CSGObject* __new_CSumOne(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSumOne(): NULL; }
556 static SHOGUN_BASIC_CLASS CSGObject* __new_CHomogeneousKernelMap(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHomogeneousKernelMap(): NULL; }
557 static SHOGUN_BASIC_CLASS CSGObject* __new_CPCA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPCA(): NULL; }
558 static SHOGUN_BASIC_CLASS CSGObject* __new_CFisherLDA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFisherLDA(): NULL; }
559 static SHOGUN_BASIC_CLASS CSGObject* __new_CSortUlongString(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSortUlongString(): NULL; }
561 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogPlusOne(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogPlusOne(): NULL; }
562 static SHOGUN_BASIC_CLASS CSGObject* __new_CGradientCriterion(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGradientCriterion(): NULL; }
564 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanSquaredLogError(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanSquaredLogError(): NULL; }
565 static SHOGUN_BASIC_CLASS CSGObject* __new_CPRCEvaluation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPRCEvaluation(): NULL; }
566 static SHOGUN_BASIC_CLASS CSGObject* __new_CClusteringAccuracy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CClusteringAccuracy(): NULL; }
569 static SHOGUN_BASIC_CLASS CSGObject* __new_CStructuredAccuracy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStructuredAccuracy(): NULL; }
571 static SHOGUN_BASIC_CLASS CSGObject* __new_CAccuracyMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAccuracyMeasure(): NULL; }
572 static SHOGUN_BASIC_CLASS CSGObject* __new_CErrorRateMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CErrorRateMeasure(): NULL; }
573 static SHOGUN_BASIC_CLASS CSGObject* __new_CBALMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBALMeasure(): NULL; }
574 static SHOGUN_BASIC_CLASS CSGObject* __new_CWRACCMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWRACCMeasure(): NULL; }
575 static SHOGUN_BASIC_CLASS CSGObject* __new_CF1Measure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CF1Measure(): NULL; }
577 static SHOGUN_BASIC_CLASS CSGObject* __new_CRecallMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRecallMeasure(): NULL; }
578 static SHOGUN_BASIC_CLASS CSGObject* __new_CPrecisionMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPrecisionMeasure(): NULL; }
579 static SHOGUN_BASIC_CLASS CSGObject* __new_CSpecificityMeasure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSpecificityMeasure(): NULL; }
580 static SHOGUN_BASIC_CLASS CSGObject* __new_CROCEvaluation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CROCEvaluation(): NULL; }
582 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanAbsoluteError(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanAbsoluteError(): NULL; }
583 static SHOGUN_BASIC_CLASS CSGObject* __new_CGradientResult(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGradientResult(): NULL; }
584 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanSquaredError(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanSquaredError(): NULL; }
585 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassAccuracy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassAccuracy(): NULL; }
589 static SHOGUN_BASIC_CLASS CSGObject* __new_CCrossValidation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCrossValidation(): NULL; }
590 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultilabelAccuracy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultilabelAccuracy(): NULL; }
592 static SHOGUN_BASIC_CLASS CSGObject* __new_CGradientEvaluation(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGradientEvaluation(): NULL; }
594 static SHOGUN_BASIC_CLASS CSGObject* __new_CDomainAdaptationSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDomainAdaptationSVM(): NULL; }
599 static SHOGUN_BASIC_CLASS CSGObject* __new_CTaskTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTaskTree(): NULL; }
601 static SHOGUN_BASIC_CLASS CSGObject* __new_CTaskGroup(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTaskGroup(): NULL; }
602 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskL12LogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskL12LogisticRegression(): NULL; }
603 static SHOGUN_BASIC_CLASS CSGObject* __new_CTask(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTask(): NULL; }
604 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskLogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskLogisticRegression(): NULL; }
605 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskTraceLogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskTraceLogisticRegression(): NULL; }
606 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskClusteredLogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskClusteredLogisticRegression(): NULL; }
608 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskLeastSquaresRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskLeastSquaresRegression(): NULL; }
609 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibLinearMTL(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibLinearMTL(): NULL; }
610 static SHOGUN_BASIC_CLASS CSGObject* __new_CNode(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNode(): NULL; }
613 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskLinearMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskLinearMachine(): NULL; }
614 static SHOGUN_BASIC_CLASS CSGObject* __new_CKMeansMiniBatch(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKMeansMiniBatch(): NULL; }
615 static SHOGUN_BASIC_CLASS CSGObject* __new_CGMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGMM(): NULL; }
616 static SHOGUN_BASIC_CLASS CSGObject* __new_CKMeans(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKMeans(): NULL; }
617 static SHOGUN_BASIC_CLASS CSGObject* __new_CHierarchical(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHierarchical(): NULL; }
618 static SHOGUN_BASIC_CLASS CSGObject* __new_CKMeansBase(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKMeansBase(): NULL; }
619 static SHOGUN_BASIC_CLASS CSGObject* __new_CGeodesicMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGeodesicMetric(): NULL; }
620 static SHOGUN_BASIC_CLASS CSGObject* __new_CCustomDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCustomDistance(): NULL; }
621 static SHOGUN_BASIC_CLASS CSGObject* __new_CCanberraWordDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCanberraWordDistance(): NULL; }
622 static SHOGUN_BASIC_CLASS CSGObject* __new_CBrayCurtisDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBrayCurtisDistance(): NULL; }
623 static SHOGUN_BASIC_CLASS CSGObject* __new_CMahalanobisDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMahalanobisDistance(): NULL; }
624 static SHOGUN_BASIC_CLASS CSGObject* __new_CMinkowskiMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMinkowskiMetric(): NULL; }
625 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelDistance(): NULL; }
626 static SHOGUN_BASIC_CLASS CSGObject* __new_CHammingWordDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHammingWordDistance(): NULL; }
627 static SHOGUN_BASIC_CLASS CSGObject* __new_CChiSquareDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CChiSquareDistance(): NULL; }
629 static SHOGUN_BASIC_CLASS CSGObject* __new_CCanberraMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCanberraMetric(): NULL; }
630 static SHOGUN_BASIC_CLASS CSGObject* __new_CEuclideanDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CEuclideanDistance(): NULL; }
631 static SHOGUN_BASIC_CLASS CSGObject* __new_CJensenMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJensenMetric(): NULL; }
633 static SHOGUN_BASIC_CLASS CSGObject* __new_CManhattanMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CManhattanMetric(): NULL; }
635 static SHOGUN_BASIC_CLASS CSGObject* __new_CCosineDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCosineDistance(): NULL; }
636 static SHOGUN_BASIC_CLASS CSGObject* __new_CChebyshewMetric(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CChebyshewMetric(): NULL; }
637 static SHOGUN_BASIC_CLASS CSGObject* __new_CTanimotoDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTanimotoDistance(): NULL; }
639 static SHOGUN_BASIC_CLASS CSGObject* __new_CDataGenerator(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDataGenerator(): NULL; }
640 static SHOGUN_BASIC_CLASS CSGObject* __new_CSubset(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSubset(): NULL; }
641 static SHOGUN_BASIC_CLASS CSGObject* __new_CCombinedDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCombinedDotFeatures(): NULL; }
642 static SHOGUN_BASIC_CLASS CSGObject* __new_CAlphabet(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAlphabet(): NULL; }
643 static SHOGUN_BASIC_CLASS CSGObject* __new_CExplicitSpecFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CExplicitSpecFeatures(): NULL; }
645 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingVwFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingVwFeatures(): NULL; }
648 static SHOGUN_BASIC_CLASS CSGObject* __new_CWDFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWDFeatures(): NULL; }
649 static SHOGUN_BASIC_CLASS CSGObject* __new_CCombinedFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCombinedFeatures(): NULL; }
650 static SHOGUN_BASIC_CLASS CSGObject* __new_CIndexFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIndexFeatures(): NULL; }
651 static SHOGUN_BASIC_CLASS CSGObject* __new_CSNPFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSNPFeatures(): NULL; }
652 static SHOGUN_BASIC_CLASS CSGObject* __new_CBinnedDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBinnedDotFeatures(): NULL; }
653 static SHOGUN_BASIC_CLASS CSGObject* __new_CLBPPyrDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLBPPyrDotFeatures(): NULL; }
654 static SHOGUN_BASIC_CLASS CSGObject* __new_CPolyFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPolyFeatures(): NULL; }
655 static SHOGUN_BASIC_CLASS CSGObject* __new_CTOPFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTOPFeatures(): NULL; }
657 static SHOGUN_BASIC_CLASS CSGObject* __new_CHashedWDFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHashedWDFeatures(): NULL; }
659 static SHOGUN_BASIC_CLASS CSGObject* __new_CHashedDocDotFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHashedDocDotFeatures(): NULL; }
660 static SHOGUN_BASIC_CLASS CSGObject* __new_CFKFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFKFeatures(): NULL; }
661 static SHOGUN_BASIC_CLASS CSGObject* __new_CSubsetStack(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSubsetStack(): NULL; }
662 static SHOGUN_BASIC_CLASS CSGObject* __new_CRealFileFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRealFileFeatures(): NULL; }
663 static SHOGUN_BASIC_CLASS CSGObject* __new_CSparsePolyFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSparsePolyFeatures(): NULL; }
664 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraphFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraphFeatures(): NULL; }
666 static SHOGUN_BASIC_CLASS CSGObject* __new_CDummyFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDummyFeatures(): NULL; }
667 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentFeatures(): NULL; }
668 static SHOGUN_BASIC_CLASS CSGObject* __new_CLineReader(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLineReader(): NULL; }
669 static SHOGUN_BASIC_CLASS CSGObject* __new_CCSVFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCSVFile(): NULL; }
670 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVMFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVMFile(): NULL; }
671 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingVwCacheFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingVwCacheFile(): NULL; }
673 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingVwFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingVwFile(): NULL; }
674 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingFile(): NULL; }
675 static SHOGUN_BASIC_CLASS CSGObject* __new_CStreamingAsciiFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStreamingAsciiFile(): NULL; }
676 static SHOGUN_BASIC_CLASS CSGObject* __new_CBinaryFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBinaryFile(): NULL; }
678 static SHOGUN_BASIC_CLASS CSGObject* __new_CIOBuffer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIOBuffer(): NULL; }
679 static SHOGUN_BASIC_CLASS CSGObject* __new_CFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFile(): NULL; }
680 static SHOGUN_BASIC_CLASS CSGObject* __new_CUAIFile(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CUAIFile(): NULL; }
681 static SHOGUN_BASIC_CLASS CSGObject* __new_CParser(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CParser(): NULL; }
682 static SHOGUN_BASIC_CLASS CSGObject* __new_CNeuralNetworkFileReader(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNeuralNetworkFileReader(): NULL; }
684 static SHOGUN_BASIC_CLASS CSGObject* __new_CNeuralNetwork(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNeuralNetwork(): NULL; }
685 static SHOGUN_BASIC_CLASS CSGObject* __new_CNeuralLayers(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNeuralLayers(): NULL; }
686 static SHOGUN_BASIC_CLASS CSGObject* __new_CDeepAutoencoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDeepAutoencoder(): NULL; }
688 static SHOGUN_BASIC_CLASS CSGObject* __new_CRBM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRBM(): NULL; }
689 static SHOGUN_BASIC_CLASS CSGObject* __new_CNeuralLinearLayer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNeuralLinearLayer(): NULL; }
690 static SHOGUN_BASIC_CLASS CSGObject* __new_CNeuralSoftmaxLayer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNeuralSoftmaxLayer(): NULL; }
692 static SHOGUN_BASIC_CLASS CSGObject* __new_CDeepBeliefNetwork(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDeepBeliefNetwork(): NULL; }
693 static SHOGUN_BASIC_CLASS CSGObject* __new_CAutoencoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAutoencoder(): NULL; }
694 static SHOGUN_BASIC_CLASS CSGObject* __new_CNeuralLogisticLayer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNeuralLogisticLayer(): NULL; }
695 static SHOGUN_BASIC_CLASS CSGObject* __new_CNeuralInputLayer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNeuralInputLayer(): NULL; }
696 static SHOGUN_BASIC_CLASS CSGObject* __new_CNeuralLayer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNeuralLayer(): NULL; }
697 static SHOGUN_BASIC_CLASS CSGObject* __new_CPyramidChi2(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPyramidChi2(): NULL; }
706 static SHOGUN_BASIC_CLASS CSGObject* __new_CDiceKernelNormalizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDiceKernelNormalizer(): NULL; }
708 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianShiftKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianShiftKernel(): NULL; }
709 static SHOGUN_BASIC_CLASS CSGObject* __new_CCircularKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCircularKernel(): NULL; }
711 static SHOGUN_BASIC_CLASS CSGObject* __new_CPeriodicKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPeriodicKernel(): NULL; }
712 static SHOGUN_BASIC_CLASS CSGObject* __new_CANOVAKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CANOVAKernel(): NULL; }
714 static SHOGUN_BASIC_CLASS CSGObject* __new_CPowerKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPowerKernel(): NULL; }
716 static SHOGUN_BASIC_CLASS CSGObject* __new_CBesselKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBesselKernel(): NULL; }
717 static SHOGUN_BASIC_CLASS CSGObject* __new_CWaveKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWaveKernel(): NULL; }
719 static SHOGUN_BASIC_CLASS CSGObject* __new_CExponentialKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CExponentialKernel(): NULL; }
720 static SHOGUN_BASIC_CLASS CSGObject* __new_CTStudentKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTStudentKernel(): NULL; }
721 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogKernel(): NULL; }
722 static SHOGUN_BASIC_CLASS CSGObject* __new_CAUCKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAUCKernel(): NULL; }
723 static SHOGUN_BASIC_CLASS CSGObject* __new_CProductKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CProductKernel(): NULL; }
724 static SHOGUN_BASIC_CLASS CSGObject* __new_CChi2Kernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CChi2Kernel(): NULL; }
726 static SHOGUN_BASIC_CLASS CSGObject* __new_CConstKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CConstKernel(): NULL; }
727 static SHOGUN_BASIC_CLASS CSGObject* __new_CSplineKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSplineKernel(): NULL; }
730 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianARDKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianARDKernel(): NULL; }
731 static SHOGUN_BASIC_CLASS CSGObject* __new_CJensenShannonKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJensenShannonKernel(): NULL; }
742 static SHOGUN_BASIC_CLASS CSGObject* __new_CSNPStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSNPStringKernel(): NULL; }
745 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearStringKernel(): NULL; }
750 static SHOGUN_BASIC_CLASS CSGObject* __new_COligoStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COligoStringKernel(): NULL; }
751 static SHOGUN_BASIC_CLASS CSGObject* __new_CSpectrumRBFKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSpectrumRBFKernel(): NULL; }
753 static SHOGUN_BASIC_CLASS CSGObject* __new_CCommWordStringKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCommWordStringKernel(): NULL; }
756 static SHOGUN_BASIC_CLASS CSGObject* __new_CSphericalKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSphericalKernel(): NULL; }
757 static SHOGUN_BASIC_CLASS CSGObject* __new_CWaveletKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWaveletKernel(): NULL; }
758 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianKernel(): NULL; }
759 static SHOGUN_BASIC_CLASS CSGObject* __new_CDistanceKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDistanceKernel(): NULL; }
760 static SHOGUN_BASIC_CLASS CSGObject* __new_CSigmoidKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSigmoidKernel(): NULL; }
761 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultiquadricKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultiquadricKernel(): NULL; }
762 static SHOGUN_BASIC_CLASS CSGObject* __new_CCombinedKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCombinedKernel(): NULL; }
763 static SHOGUN_BASIC_CLASS CSGObject* __new_CCustomKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCustomKernel(): NULL; }
764 static SHOGUN_BASIC_CLASS CSGObject* __new_CPolyKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPolyKernel(): NULL; }
765 static SHOGUN_BASIC_CLASS CSGObject* __new_CDiagKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDiagKernel(): NULL; }
766 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearKernel(): NULL; }
767 static SHOGUN_BASIC_CLASS CSGObject* __new_CCauchyKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCauchyKernel(): NULL; }
768 static SHOGUN_BASIC_CLASS CSGObject* __new_CRegressionLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRegressionLabels(): NULL; }
769 static SHOGUN_BASIC_CLASS CSGObject* __new_CLabelsFactory(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLabelsFactory(): NULL; }
771 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraphLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraphLabels(): NULL; }
772 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassLabels(): NULL; }
773 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentLabels(): NULL; }
774 static SHOGUN_BASIC_CLASS CSGObject* __new_CBinaryLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBinaryLabels(): NULL; }
775 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultilabelLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultilabelLabels(): NULL; }
776 static SHOGUN_BASIC_CLASS CSGObject* __new_CStructuredLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStructuredLabels(): NULL; }
777 static SHOGUN_BASIC_CLASS CSGObject* __new_CQDA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQDA(): NULL; }
778 static SHOGUN_BASIC_CLASS CSGObject* __new_CLaRank(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLaRank(): NULL; }
779 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassLibSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassLibSVM(): NULL; }
780 static SHOGUN_BASIC_CLASS CSGObject* __new_CScatterSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CScatterSVM(): NULL; }
781 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassSVM(): NULL; }
782 static SHOGUN_BASIC_CLASS CSGObject* __new_CShareBoost(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CShareBoost(): NULL; }
783 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianNaiveBayes(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianNaiveBayes(): NULL; }
785 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCOVREncoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCOVREncoder(): NULL; }
786 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCOVOEncoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCOVOEncoder(): NULL; }
787 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCEDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCEDDecoder(): NULL; }
788 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCHDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCHDDecoder(): NULL; }
790 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCAEDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCAEDDecoder(): NULL; }
792 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCLLBDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCLLBDecoder(): NULL; }
794 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCStrategy(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCStrategy(): NULL; }
795 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCForestEncoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCForestEncoder(): NULL; }
796 static SHOGUN_BASIC_CLASS CSGObject* __new_CECOCIHDDecoder(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CECOCIHDDecoder(): NULL; }
797 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassOCAS(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassOCAS(): NULL; }
798 static SHOGUN_BASIC_CLASS CSGObject* __new_CGMNPSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGMNPSVM(): NULL; }
799 static SHOGUN_BASIC_CLASS CSGObject* __new_CMCLDA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMCLDA(): NULL; }
802 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassLogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassLogisticRegression(): NULL; }
805 static SHOGUN_BASIC_CLASS CSGObject* __new_CID3ClassifierTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CID3ClassifierTree(): NULL; }
806 static SHOGUN_BASIC_CLASS CSGObject* __new_CCARTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCARTree(): NULL; }
807 static SHOGUN_BASIC_CLASS CSGObject* __new_CRelaxedTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRelaxedTree(): NULL; }
808 static SHOGUN_BASIC_CLASS CSGObject* __new_CBallTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBallTree(): NULL; }
810 static SHOGUN_BASIC_CLASS CSGObject* __new_CKDTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKDTree(): NULL; }
811 static SHOGUN_BASIC_CLASS CSGObject* __new_CC45ClassifierTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CC45ClassifierTree(): NULL; }
812 static SHOGUN_BASIC_CLASS CSGObject* __new_CRandomCARTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRandomCARTree(): NULL; }
813 static SHOGUN_BASIC_CLASS CSGObject* __new_CCHAIDTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCHAIDTree(): NULL; }
814 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassLibLinear(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassLibLinear(): NULL; }
815 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassTreeGuidedLogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassTreeGuidedLogisticRegression(): NULL; }
816 static SHOGUN_BASIC_CLASS CSGObject* __new_CKNN(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKNN(): NULL; }
817 static SHOGUN_BASIC_CLASS CSGObject* __new_CGMNPLib(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGMNPLib(): NULL; }
818 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussian(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussian(): NULL; }
819 static SHOGUN_BASIC_CLASS CSGObject* __new_CEMMixtureModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CEMMixtureModel(): NULL; }
820 static SHOGUN_BASIC_CLASS CSGObject* __new_CHistogram(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHistogram(): NULL; }
821 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelDensity(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelDensity(): NULL; }
822 static SHOGUN_BASIC_CLASS CSGObject* __new_CHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHMM(): NULL; }
823 static SHOGUN_BASIC_CLASS CSGObject* __new_CMixtureModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMixtureModel(): NULL; }
824 static SHOGUN_BASIC_CLASS CSGObject* __new_CPositionalPWM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPositionalPWM(): NULL; }
825 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianDistribution(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianDistribution(): NULL; }
826 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearHMM(): NULL; }
827 static SHOGUN_BASIC_CLASS CSGObject* __new_CLBFGSMinimizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLBFGSMinimizer(): NULL; }
828 static SHOGUN_BASIC_CLASS CSGObject* __new_CTron(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTron(): NULL; }
829 static SHOGUN_BASIC_CLASS CSGObject* __new_CNLOPTMinimizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNLOPTMinimizer(): NULL; }
830 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultilabelModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultilabelModel(): NULL; }
831 static SHOGUN_BASIC_CLASS CSGObject* __new_CSegmentLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSegmentLoss(): NULL; }
832 static SHOGUN_BASIC_CLASS CSGObject* __new_CCCSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCCSOSVM(): NULL; }
833 static SHOGUN_BASIC_CLASS CSGObject* __new_CDisjointSet(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDisjointSet(): NULL; }
834 static SHOGUN_BASIC_CLASS CSGObject* __new_CPlifArray(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPlifArray(): NULL; }
836 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraphModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraphModel(): NULL; }
837 static SHOGUN_BASIC_CLASS CSGObject* __new_CSparseMultilabel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSparseMultilabel(): NULL; }
838 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultilabelSOLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultilabelSOLabels(): NULL; }
839 static SHOGUN_BASIC_CLASS CSGObject* __new_CTwoStateModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTwoStateModel(): NULL; }
840 static SHOGUN_BASIC_CLASS CSGObject* __new_CIntronList(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIntronList(): NULL; }
841 static SHOGUN_BASIC_CLASS CSGObject* __new_CStochasticSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStochasticSOSVM(): NULL; }
842 static SHOGUN_BASIC_CLASS CSGObject* __new_CPlifMatrix(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPlifMatrix(): NULL; }
843 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassModel(): NULL; }
844 static SHOGUN_BASIC_CLASS CSGObject* __new_CSequence(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSequence(): NULL; }
845 static SHOGUN_BASIC_CLASS CSGObject* __new_CSequenceLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSequenceLabels(): NULL; }
846 static SHOGUN_BASIC_CLASS CSGObject* __new_CGEMPLP(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGEMPLP(): NULL; }
847 static SHOGUN_BASIC_CLASS CSGObject* __new_CMulticlassSOLabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMulticlassSOLabels(): NULL; }
848 static SHOGUN_BASIC_CLASS CSGObject* __new_CSOSVMHelper(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSOSVMHelper(): NULL; }
849 static SHOGUN_BASIC_CLASS CSGObject* __new_CDynProg(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDynProg(): NULL; }
850 static SHOGUN_BASIC_CLASS CSGObject* __new_CMAPInference(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMAPInference(): NULL; }
851 static SHOGUN_BASIC_CLASS CSGObject* __new_CDualLibQPBMSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDualLibQPBMSOSVM(): NULL; }
853 static SHOGUN_BASIC_CLASS CSGObject* __new_CHMSVMModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHMSVMModel(): NULL; }
854 static SHOGUN_BASIC_CLASS CSGObject* __new_CFWSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFWSOSVM(): NULL; }
855 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorDataSource(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorDataSource(): NULL; }
856 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactor(): NULL; }
857 static SHOGUN_BASIC_CLASS CSGObject* __new_CMultilabelCLRModel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultilabelCLRModel(): NULL; }
858 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorType(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorType(): NULL; }
859 static SHOGUN_BASIC_CLASS CSGObject* __new_CTableFactorType(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTableFactorType(): NULL; }
860 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorGraph(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorGraph(): NULL; }
861 static SHOGUN_BASIC_CLASS CSGObject* __new_CPlif(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPlif(): NULL; }
862 static SHOGUN_BASIC_CLASS CSGObject* __new_CGraphCut(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGraphCut(): NULL; }
864 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelMachine(): NULL; }
865 static SHOGUN_BASIC_CLASS CSGObject* __new_COnlineLinearMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COnlineLinearMachine(): NULL; }
866 static SHOGUN_BASIC_CLASS CSGObject* __new_CMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMachine(): NULL; }
867 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearMachine(): NULL; }
868 static SHOGUN_BASIC_CLASS CSGObject* __new_CRandomForest(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRandomForest(): NULL; }
871 static SHOGUN_BASIC_CLASS CSGObject* __new_CStochasticGBMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStochasticGBMachine(): NULL; }
872 static SHOGUN_BASIC_CLASS CSGObject* __new_CDistanceMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDistanceMachine(): NULL; }
874 static SHOGUN_BASIC_CLASS CSGObject* __new_CBaggingMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBaggingMachine(): NULL; }
880 static SHOGUN_BASIC_CLASS CSGObject* __new_CExactInferenceMethod(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CExactInferenceMethod(): NULL; }
883 static SHOGUN_BASIC_CLASS CSGObject* __new_CConstMean(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CConstMean(): NULL; }
884 static SHOGUN_BASIC_CLASS CSGObject* __new_CProbitLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CProbitLikelihood(): NULL; }
887 static SHOGUN_BASIC_CLASS CSGObject* __new_CGaussianLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGaussianLikelihood(): NULL; }
892 static SHOGUN_BASIC_CLASS CSGObject* __new_CStudentsTLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStudentsTLikelihood(): NULL; }
893 static SHOGUN_BASIC_CLASS CSGObject* __new_CEPInferenceMethod(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CEPInferenceMethod(): NULL; }
894 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogitLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogitLikelihood(): NULL; }
899 static SHOGUN_BASIC_CLASS CSGObject* __new_CProbitVGLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CProbitVGLikelihood(): NULL; }
900 static SHOGUN_BASIC_CLASS CSGObject* __new_CFITCInferenceMethod(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFITCInferenceMethod(): NULL; }
901 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogitVGLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogitVGLikelihood(): NULL; }
902 static SHOGUN_BASIC_CLASS CSGObject* __new_CZeroMean(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CZeroMean(): NULL; }
903 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogitDVGLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogitDVGLikelihood(): NULL; }
905 static SHOGUN_BASIC_CLASS CSGObject* __new_CSoftMaxLikelihood(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSoftMaxLikelihood(): NULL; }
907 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIFeatures(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIFeatures(): NULL; }
908 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUITime(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUITime(): NULL; }
909 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIHMM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIHMM(): NULL; }
910 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIDistance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIDistance(): NULL; }
911 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIClassifier(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIClassifier(): NULL; }
912 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIPluginEstimate(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIPluginEstimate(): NULL; }
913 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUILabels(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUILabels(): NULL; }
914 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIStructure(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIStructure(): NULL; }
915 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIMath(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIMath(): NULL; }
916 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIKernel(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIKernel(): NULL; }
917 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIPreprocessor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIPreprocessor(): NULL; }
918 static SHOGUN_BASIC_CLASS CSGObject* __new_CGUIConverter(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGUIConverter(): NULL; }
921 static SHOGUN_BASIC_CLASS CSGObject* __new_CLeastAngleRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLeastAngleRegression(): NULL; }
923 static SHOGUN_BASIC_CLASS CSGObject* __new_CKRRNystrom(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKRRNystrom(): NULL; }
925 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVRLight(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVRLight(): NULL; }
926 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibLinearRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibLinearRegression(): NULL; }
927 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVR(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVR(): NULL; }
928 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLRegression(): NULL; }
929 static SHOGUN_BASIC_CLASS CSGObject* __new_CWeightedMajorityVote(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWeightedMajorityVote(): NULL; }
930 static SHOGUN_BASIC_CLASS CSGObject* __new_CMeanRule(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMeanRule(): NULL; }
931 static SHOGUN_BASIC_CLASS CSGObject* __new_CMajorityVote(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMajorityVote(): NULL; }
932 static SHOGUN_BASIC_CLASS CSGObject* __new_CHSIC(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHSIC(): NULL; }
934 static SHOGUN_BASIC_CLASS CSGObject* __new_CLinearTimeMMD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLinearTimeMMD(): NULL; }
935 static SHOGUN_BASIC_CLASS CSGObject* __new_CKernelMeanMatching(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CKernelMeanMatching(): NULL; }
938 static SHOGUN_BASIC_CLASS CSGObject* __new_CNOCCO(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNOCCO(): NULL; }
939 static SHOGUN_BASIC_CLASS CSGObject* __new_CMMDKernelSelectionCombMaxL2(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMMDKernelSelectionCombMaxL2(): NULL; }
940 static SHOGUN_BASIC_CLASS CSGObject* __new_CMMDKernelSelectionCombOpt(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMMDKernelSelectionCombOpt(): NULL; }
941 static SHOGUN_BASIC_CLASS CSGObject* __new_CQuadraticTimeMMD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQuadraticTimeMMD(): NULL; }
942 static SHOGUN_BASIC_CLASS CSGObject* __new_CCompressor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCompressor(): NULL; }
943 static SHOGUN_BASIC_CLASS CSGObject* __new_CHash(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHash(): NULL; }
945 static SHOGUN_BASIC_CLASS CSGObject* __new_CJobResult(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJobResult(): NULL; }
946 static SHOGUN_BASIC_CLASS CSGObject* __new_CTime(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CTime(): NULL; }
947 static SHOGUN_BASIC_CLASS CSGObject* __new_CIndexBlockGroup(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIndexBlockGroup(): NULL; }
948 static SHOGUN_BASIC_CLASS CSGObject* __new_CStructuredData(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStructuredData(): NULL; }
949 static SHOGUN_BASIC_CLASS CSGObject* __new_CIndexBlockTree(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIndexBlockTree(): NULL; }
950 static SHOGUN_BASIC_CLASS CSGObject* __new_CData(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CData(): NULL; }
951 static SHOGUN_BASIC_CLASS CSGObject* __new_CDynamicObjectArray(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDynamicObjectArray(): NULL; }
952 static SHOGUN_BASIC_CLASS CSGObject* __new_CBitString(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CBitString(): NULL; }
953 static SHOGUN_BASIC_CLASS CSGObject* __new_CDelimiterTokenizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDelimiterTokenizer(): NULL; }
954 static SHOGUN_BASIC_CLASS CSGObject* __new_CIndexBlock(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIndexBlock(): NULL; }
955 static SHOGUN_BASIC_CLASS CSGObject* __new_CListElement(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CListElement(): NULL; }
956 static SHOGUN_BASIC_CLASS CSGObject* __new_CList(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CList(): NULL; }
957 static SHOGUN_BASIC_CLASS CSGObject* __new_CSignal(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSignal(): NULL; }
958 static SHOGUN_BASIC_CLASS CSGObject* __new_CCircularBuffer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CCircularBuffer(): NULL; }
959 static SHOGUN_BASIC_CLASS CSGObject* __new_CNGramTokenizer(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNGramTokenizer(): NULL; }
960 static SHOGUN_BASIC_CLASS CSGObject* __new_CWrappedObjectArray(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWrappedObjectArray(): NULL; }
961 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentSVM(): NULL; }
962 static SHOGUN_BASIC_CLASS CSGObject* __new_CLatentSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLatentSOSVM(): NULL; }
963 static SHOGUN_BASIC_CLASS CSGObject* __new_CLMNN(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLMNN(): NULL; }
964 static SHOGUN_BASIC_CLASS CSGObject* __new_CLMNNStatistics(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLMNNStatistics(): NULL; }
965 static SHOGUN_BASIC_CLASS CSGObject* __new_CSparseInverseCovariance(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSparseInverseCovariance(): NULL; }
966 static SHOGUN_BASIC_CLASS CSGObject* __new_CDirectEigenSolver(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDirectEigenSolver(): NULL; }
967 static SHOGUN_BASIC_CLASS CSGObject* __new_CLanczosEigenSolver(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLanczosEigenSolver(): NULL; }
971 static SHOGUN_BASIC_CLASS CSGObject* __new_CProbingSampler(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CProbingSampler(): NULL; }
972 static SHOGUN_BASIC_CLASS CSGObject* __new_CNormalSampler(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNormalSampler(): NULL; }
975 static SHOGUN_BASIC_CLASS CSGObject* __new_CDenseExactLogJob(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDenseExactLogJob(): NULL; }
977 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogDetEstimator(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogDetEstimator(): NULL; }
979 static SHOGUN_BASIC_CLASS CSGObject* __new_CDenseMatrixExactLog(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDenseMatrixExactLog(): NULL; }
981 static SHOGUN_BASIC_CLASS CSGObject* __new_CStatistics(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CStatistics(): NULL; }
982 static SHOGUN_BASIC_CLASS CSGObject* __new_CRandom(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CRandom(): NULL; }
984 static SHOGUN_BASIC_CLASS CSGObject* __new_CIntegration(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIntegration(): NULL; }
985 static SHOGUN_BASIC_CLASS CSGObject* __new_CMath(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMath(): NULL; }
986 static SHOGUN_BASIC_CLASS CSGObject* __new_CQDiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQDiag(): NULL; }
987 static SHOGUN_BASIC_CLASS CSGObject* __new_CUWedge(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CUWedge(): NULL; }
988 static SHOGUN_BASIC_CLASS CSGObject* __new_CJADiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJADiag(): NULL; }
989 static SHOGUN_BASIC_CLASS CSGObject* __new_CFFDiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFFDiag(): NULL; }
990 static SHOGUN_BASIC_CLASS CSGObject* __new_CJediDiag(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJediDiag(): NULL; }
991 static SHOGUN_BASIC_CLASS CSGObject* __new_CJADiagOrth(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJADiagOrth(): NULL; }
993 static SHOGUN_BASIC_CLASS CSGObject* __new_CGradientModelSelection(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGradientModelSelection(): NULL; }
994 static SHOGUN_BASIC_CLASS CSGObject* __new_CParameterCombination(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CParameterCombination(): NULL; }
999 static SHOGUN_BASIC_CLASS CSGObject* __new_CLaplacianEigenmaps(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLaplacianEigenmaps(): NULL; }
1005 static SHOGUN_BASIC_CLASS CSGObject* __new_CJade(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJade(): NULL; }
1006 static SHOGUN_BASIC_CLASS CSGObject* __new_CFFSep(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFFSep(): NULL; }
1007 static SHOGUN_BASIC_CLASS CSGObject* __new_CFastICA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFastICA(): NULL; }
1008 static SHOGUN_BASIC_CLASS CSGObject* __new_CJediSep(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CJediSep(): NULL; }
1009 static SHOGUN_BASIC_CLASS CSGObject* __new_CUWedgeSep(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CUWedgeSep(): NULL; }
1010 static SHOGUN_BASIC_CLASS CSGObject* __new_CSOBI(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSOBI(): NULL; }
1011 static SHOGUN_BASIC_CLASS CSGObject* __new_CIsomap(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CIsomap(): NULL; }
1012 static SHOGUN_BASIC_CLASS CSGObject* __new_CDiffusionMaps(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDiffusionMaps(): NULL; }
1014 static SHOGUN_BASIC_CLASS CSGObject* __new_CManifoldSculpting(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CManifoldSculpting(): NULL; }
1015 static SHOGUN_BASIC_CLASS CSGObject* __new_CFactorAnalysis(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFactorAnalysis(): NULL; }
1018 static SHOGUN_BASIC_CLASS CSGObject* __new_CHashedDocConverter(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHashedDocConverter(): NULL; }
1019 static SHOGUN_BASIC_CLASS CSGObject* __new_CAveragedPerceptron(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CAveragedPerceptron(): NULL; }
1020 static SHOGUN_BASIC_CLASS CSGObject* __new_CPerceptron(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPerceptron(): NULL; }
1021 static SHOGUN_BASIC_CLASS CSGObject* __new_CFeatureBlockLogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CFeatureBlockLogisticRegression(): NULL; }
1022 static SHOGUN_BASIC_CLASS CSGObject* __new_CPluginEstimate(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CPluginEstimate(): NULL; }
1023 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLMulticlass(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLMulticlass(): NULL; }
1024 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLOneClass(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLOneClass(): NULL; }
1025 static SHOGUN_BASIC_CLASS CSGObject* __new_CMKLClassification(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMKLClassification(): NULL; }
1026 static SHOGUN_BASIC_CLASS CSGObject* __new_CVowpalWabbit(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVowpalWabbit(): NULL; }
1027 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwAdaptiveLearner(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwAdaptiveLearner(): NULL; }
1029 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwRegressor(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwRegressor(): NULL; }
1030 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwNativeCacheReader(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwNativeCacheReader(): NULL; }
1031 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwNativeCacheWriter(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwNativeCacheWriter(): NULL; }
1032 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwEnvironment(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwEnvironment(): NULL; }
1033 static SHOGUN_BASIC_CLASS CSGObject* __new_CVwParser(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CVwParser(): NULL; }
1034 static SHOGUN_BASIC_CLASS CSGObject* __new_CNearestCentroid(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNearestCentroid(): NULL; }
1035 static SHOGUN_BASIC_CLASS CSGObject* __new_CGPBTSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGPBTSVM(): NULL; }
1036 static SHOGUN_BASIC_CLASS CSGObject* __new_CSGDQN(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSGDQN(): NULL; }
1037 static SHOGUN_BASIC_CLASS CSGObject* __new_CGNPPSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGNPPSVM(): NULL; }
1038 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVM(): NULL; }
1039 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibLinear(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibLinear(): NULL; }
1040 static SHOGUN_BASIC_CLASS CSGObject* __new_CGNPPLib(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CGNPPLib(): NULL; }
1041 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVM(): NULL; }
1042 static SHOGUN_BASIC_CLASS CSGObject* __new_CMPDSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMPDSVM(): NULL; }
1043 static SHOGUN_BASIC_CLASS CSGObject* __new_CWDSVMOcas(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CWDSVMOcas(): NULL; }
1044 static SHOGUN_BASIC_CLASS CSGObject* __new_COnlineLibLinear(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COnlineLibLinear(): NULL; }
1045 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMLight(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMLight(): NULL; }
1046 static SHOGUN_BASIC_CLASS CSGObject* __new_CQPBSVMLib(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CQPBSVMLib(): NULL; }
1047 static SHOGUN_BASIC_CLASS CSGObject* __new_CNewtonSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CNewtonSVM(): NULL; }
1048 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMLin(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMLin(): NULL; }
1049 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMSGD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMSGD(): NULL; }
1050 static SHOGUN_BASIC_CLASS CSGObject* __new_CLibSVMOneClass(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLibSVMOneClass(): NULL; }
1051 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMLightOneClass(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMLightOneClass(): NULL; }
1052 static SHOGUN_BASIC_CLASS CSGObject* __new_COnlineSVMSGD(EPrimitiveType g) { return g == PT_NOT_GENERIC? new COnlineSVMSGD(): NULL; }
1053 static SHOGUN_BASIC_CLASS CSGObject* __new_CSVMOcas(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSVMOcas(): NULL; }
1055 static SHOGUN_BASIC_CLASS CSGObject* __new_CLDA(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLDA(): NULL; }
1056 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogLoss(): NULL; }
1057 static SHOGUN_BASIC_CLASS CSGObject* __new_CHingeLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHingeLoss(): NULL; }
1058 static SHOGUN_BASIC_CLASS CSGObject* __new_CHuberLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CHuberLoss(): NULL; }
1059 static SHOGUN_BASIC_CLASS CSGObject* __new_CSquaredHingeLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSquaredHingeLoss(): NULL; }
1060 static SHOGUN_BASIC_CLASS CSGObject* __new_CSquaredLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSquaredLoss(): NULL; }
1061 static SHOGUN_BASIC_CLASS CSGObject* __new_CLogLossMargin(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CLogLossMargin(): NULL; }
1062 static SHOGUN_BASIC_CLASS CSGObject* __new_CExponentialLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CExponentialLoss(): NULL; }
1064 static SHOGUN_BASIC_CLASS CSGObject* __new_CSmoothHingeLoss(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CSmoothHingeLoss(): NULL; }
1066 {
1067  switch (g)
1068  {
1069  case PT_BOOL: return new CDecompressString<bool>();
1070  case PT_CHAR: return new CDecompressString<char>();
1071  case PT_INT8: return new CDecompressString<int8_t>();
1072  case PT_UINT8: return new CDecompressString<uint8_t>();
1073  case PT_INT16: return new CDecompressString<int16_t>();
1074  case PT_UINT16: return new CDecompressString<uint16_t>();
1075  case PT_INT32: return new CDecompressString<int32_t>();
1076  case PT_UINT32: return new CDecompressString<uint32_t>();
1077  case PT_INT64: return new CDecompressString<int64_t>();
1078  case PT_UINT64: return new CDecompressString<uint64_t>();
1079  case PT_FLOAT32: return new CDecompressString<float32_t>();
1080  case PT_FLOAT64: return new CDecompressString<float64_t>();
1081  case PT_FLOATMAX: return new CDecompressString<floatmax_t>();
1082  case PT_COMPLEX128: return NULL;
1083  case PT_SGOBJECT:
1084  case PT_UNDEFINED: return NULL;
1085  }
1086  return NULL;
1087 }
1089 {
1090  switch (g)
1091  {
1092  case PT_BOOL: return new CStringFeatures<bool>();
1093  case PT_CHAR: return new CStringFeatures<char>();
1094  case PT_INT8: return new CStringFeatures<int8_t>();
1095  case PT_UINT8: return new CStringFeatures<uint8_t>();
1096  case PT_INT16: return new CStringFeatures<int16_t>();
1097  case PT_UINT16: return new CStringFeatures<uint16_t>();
1098  case PT_INT32: return new CStringFeatures<int32_t>();
1099  case PT_UINT32: return new CStringFeatures<uint32_t>();
1100  case PT_INT64: return new CStringFeatures<int64_t>();
1101  case PT_UINT64: return new CStringFeatures<uint64_t>();
1102  case PT_FLOAT32: return new CStringFeatures<float32_t>();
1103  case PT_FLOAT64: return new CStringFeatures<float64_t>();
1104  case PT_FLOATMAX: return new CStringFeatures<floatmax_t>();
1105  case PT_COMPLEX128: return NULL;
1106  case PT_SGOBJECT:
1107  case PT_UNDEFINED: return NULL;
1108  }
1109  return NULL;
1110 }
1112 {
1113  switch (g)
1114  {
1115  case PT_BOOL: return new CDenseSubSamplesFeatures<bool>();
1116  case PT_CHAR: return new CDenseSubSamplesFeatures<char>();
1117  case PT_INT8: return new CDenseSubSamplesFeatures<int8_t>();
1118  case PT_UINT8: return new CDenseSubSamplesFeatures<uint8_t>();
1119  case PT_INT16: return new CDenseSubSamplesFeatures<int16_t>();
1120  case PT_UINT16: return new CDenseSubSamplesFeatures<uint16_t>();
1121  case PT_INT32: return new CDenseSubSamplesFeatures<int32_t>();
1122  case PT_UINT32: return new CDenseSubSamplesFeatures<uint32_t>();
1123  case PT_INT64: return new CDenseSubSamplesFeatures<int64_t>();
1124  case PT_UINT64: return new CDenseSubSamplesFeatures<uint64_t>();
1125  case PT_FLOAT32: return new CDenseSubSamplesFeatures<float32_t>();
1126  case PT_FLOAT64: return new CDenseSubSamplesFeatures<float64_t>();
1127  case PT_FLOATMAX: return new CDenseSubSamplesFeatures<floatmax_t>();
1128  case PT_COMPLEX128: return NULL;
1129  case PT_SGOBJECT:
1130  case PT_UNDEFINED: return NULL;
1131  }
1132  return NULL;
1133 }
1135 {
1136  switch (g)
1137  {
1138  case PT_BOOL: return new CDenseFeatures<bool>();
1139  case PT_CHAR: return new CDenseFeatures<char>();
1140  case PT_INT8: return new CDenseFeatures<int8_t>();
1141  case PT_UINT8: return new CDenseFeatures<uint8_t>();
1142  case PT_INT16: return new CDenseFeatures<int16_t>();
1143  case PT_UINT16: return new CDenseFeatures<uint16_t>();
1144  case PT_INT32: return new CDenseFeatures<int32_t>();
1145  case PT_UINT32: return new CDenseFeatures<uint32_t>();
1146  case PT_INT64: return new CDenseFeatures<int64_t>();
1147  case PT_UINT64: return new CDenseFeatures<uint64_t>();
1148  case PT_FLOAT32: return new CDenseFeatures<float32_t>();
1149  case PT_FLOAT64: return new CDenseFeatures<float64_t>();
1150  case PT_FLOATMAX: return new CDenseFeatures<floatmax_t>();
1151  case PT_COMPLEX128: return NULL;
1152  case PT_SGOBJECT:
1153  case PT_UNDEFINED: return NULL;
1154  }
1155  return NULL;
1156 }
1158 {
1159  switch (g)
1160  {
1161  case PT_BOOL: return new CStreamingHashedDenseFeatures<bool>();
1162  case PT_CHAR: return new CStreamingHashedDenseFeatures<char>();
1163  case PT_INT8: return new CStreamingHashedDenseFeatures<int8_t>();
1164  case PT_UINT8: return new CStreamingHashedDenseFeatures<uint8_t>();
1165  case PT_INT16: return new CStreamingHashedDenseFeatures<int16_t>();
1166  case PT_UINT16: return new CStreamingHashedDenseFeatures<uint16_t>();
1167  case PT_INT32: return new CStreamingHashedDenseFeatures<int32_t>();
1168  case PT_UINT32: return new CStreamingHashedDenseFeatures<uint32_t>();
1169  case PT_INT64: return new CStreamingHashedDenseFeatures<int64_t>();
1170  case PT_UINT64: return new CStreamingHashedDenseFeatures<uint64_t>();
1171  case PT_FLOAT32: return new CStreamingHashedDenseFeatures<float32_t>();
1172  case PT_FLOAT64: return new CStreamingHashedDenseFeatures<float64_t>();
1173  case PT_FLOATMAX: return new CStreamingHashedDenseFeatures<floatmax_t>();
1174  case PT_COMPLEX128: return NULL;
1175  case PT_SGOBJECT:
1176  case PT_UNDEFINED: return NULL;
1177  }
1178  return NULL;
1179 }
1181 {
1182  switch (g)
1183  {
1184  case PT_BOOL: return new CStreamingDenseFeatures<bool>();
1185  case PT_CHAR: return new CStreamingDenseFeatures<char>();
1186  case PT_INT8: return new CStreamingDenseFeatures<int8_t>();
1187  case PT_UINT8: return new CStreamingDenseFeatures<uint8_t>();
1188  case PT_INT16: return new CStreamingDenseFeatures<int16_t>();
1189  case PT_UINT16: return new CStreamingDenseFeatures<uint16_t>();
1190  case PT_INT32: return new CStreamingDenseFeatures<int32_t>();
1191  case PT_UINT32: return new CStreamingDenseFeatures<uint32_t>();
1192  case PT_INT64: return new CStreamingDenseFeatures<int64_t>();
1193  case PT_UINT64: return new CStreamingDenseFeatures<uint64_t>();
1194  case PT_FLOAT32: return new CStreamingDenseFeatures<float32_t>();
1195  case PT_FLOAT64: return new CStreamingDenseFeatures<float64_t>();
1196  case PT_FLOATMAX: return new CStreamingDenseFeatures<floatmax_t>();
1197  case PT_COMPLEX128: return NULL;
1198  case PT_SGOBJECT:
1199  case PT_UNDEFINED: return NULL;
1200  }
1201  return NULL;
1202 }
1204 {
1205  switch (g)
1206  {
1207  case PT_BOOL: return new CStreamingStringFeatures<bool>();
1208  case PT_CHAR: return new CStreamingStringFeatures<char>();
1209  case PT_INT8: return new CStreamingStringFeatures<int8_t>();
1210  case PT_UINT8: return new CStreamingStringFeatures<uint8_t>();
1211  case PT_INT16: return new CStreamingStringFeatures<int16_t>();
1212  case PT_UINT16: return new CStreamingStringFeatures<uint16_t>();
1213  case PT_INT32: return new CStreamingStringFeatures<int32_t>();
1214  case PT_UINT32: return new CStreamingStringFeatures<uint32_t>();
1215  case PT_INT64: return new CStreamingStringFeatures<int64_t>();
1216  case PT_UINT64: return new CStreamingStringFeatures<uint64_t>();
1217  case PT_FLOAT32: return new CStreamingStringFeatures<float32_t>();
1218  case PT_FLOAT64: return new CStreamingStringFeatures<float64_t>();
1219  case PT_FLOATMAX: return new CStreamingStringFeatures<floatmax_t>();
1220  case PT_COMPLEX128: return NULL;
1221  case PT_SGOBJECT:
1222  case PT_UNDEFINED: return NULL;
1223  }
1224  return NULL;
1225 }
1227 {
1228  switch (g)
1229  {
1230  case PT_BOOL: return new CStreamingHashedSparseFeatures<bool>();
1231  case PT_CHAR: return new CStreamingHashedSparseFeatures<char>();
1232  case PT_INT8: return new CStreamingHashedSparseFeatures<int8_t>();
1233  case PT_UINT8: return new CStreamingHashedSparseFeatures<uint8_t>();
1234  case PT_INT16: return new CStreamingHashedSparseFeatures<int16_t>();
1235  case PT_UINT16: return new CStreamingHashedSparseFeatures<uint16_t>();
1236  case PT_INT32: return new CStreamingHashedSparseFeatures<int32_t>();
1237  case PT_UINT32: return new CStreamingHashedSparseFeatures<uint32_t>();
1238  case PT_INT64: return new CStreamingHashedSparseFeatures<int64_t>();
1239  case PT_UINT64: return new CStreamingHashedSparseFeatures<uint64_t>();
1240  case PT_FLOAT32: return new CStreamingHashedSparseFeatures<float32_t>();
1241  case PT_FLOAT64: return new CStreamingHashedSparseFeatures<float64_t>();
1242  case PT_FLOATMAX: return new CStreamingHashedSparseFeatures<floatmax_t>();
1243  case PT_COMPLEX128: return NULL;
1244  case PT_SGOBJECT:
1245  case PT_UNDEFINED: return NULL;
1246  }
1247  return NULL;
1248 }
1250 {
1251  switch (g)
1252  {
1253  case PT_BOOL: return new CStreamingSparseFeatures<bool>();
1254  case PT_CHAR: return new CStreamingSparseFeatures<char>();
1255  case PT_INT8: return new CStreamingSparseFeatures<int8_t>();
1256  case PT_UINT8: return new CStreamingSparseFeatures<uint8_t>();
1257  case PT_INT16: return new CStreamingSparseFeatures<int16_t>();
1258  case PT_UINT16: return new CStreamingSparseFeatures<uint16_t>();
1259  case PT_INT32: return new CStreamingSparseFeatures<int32_t>();
1260  case PT_UINT32: return new CStreamingSparseFeatures<uint32_t>();
1261  case PT_INT64: return new CStreamingSparseFeatures<int64_t>();
1262  case PT_UINT64: return new CStreamingSparseFeatures<uint64_t>();
1263  case PT_FLOAT32: return new CStreamingSparseFeatures<float32_t>();
1264  case PT_FLOAT64: return new CStreamingSparseFeatures<float64_t>();
1265  case PT_FLOATMAX: return new CStreamingSparseFeatures<floatmax_t>();
1266  case PT_COMPLEX128: return NULL;
1267  case PT_SGOBJECT:
1268  case PT_UNDEFINED: return NULL;
1269  }
1270  return NULL;
1271 }
1273 {
1274  switch (g)
1275  {
1276  case PT_BOOL: return new CMatrixFeatures<bool>();
1277  case PT_CHAR: return new CMatrixFeatures<char>();
1278  case PT_INT8: return new CMatrixFeatures<int8_t>();
1279  case PT_UINT8: return new CMatrixFeatures<uint8_t>();
1280  case PT_INT16: return new CMatrixFeatures<int16_t>();
1281  case PT_UINT16: return new CMatrixFeatures<uint16_t>();
1282  case PT_INT32: return new CMatrixFeatures<int32_t>();
1283  case PT_UINT32: return new CMatrixFeatures<uint32_t>();
1284  case PT_INT64: return new CMatrixFeatures<int64_t>();
1285  case PT_UINT64: return new CMatrixFeatures<uint64_t>();
1286  case PT_FLOAT32: return new CMatrixFeatures<float32_t>();
1287  case PT_FLOAT64: return new CMatrixFeatures<float64_t>();
1288  case PT_FLOATMAX: return new CMatrixFeatures<floatmax_t>();
1289  case PT_COMPLEX128: return NULL;
1290  case PT_SGOBJECT:
1291  case PT_UNDEFINED: return NULL;
1292  }
1293  return NULL;
1294 }
1296 {
1297  switch (g)
1298  {
1299  case PT_BOOL: return new CSparseFeatures<bool>();
1300  case PT_CHAR: return new CSparseFeatures<char>();
1301  case PT_INT8: return new CSparseFeatures<int8_t>();
1302  case PT_UINT8: return new CSparseFeatures<uint8_t>();
1303  case PT_INT16: return new CSparseFeatures<int16_t>();
1304  case PT_UINT16: return new CSparseFeatures<uint16_t>();
1305  case PT_INT32: return new CSparseFeatures<int32_t>();
1306  case PT_UINT32: return new CSparseFeatures<uint32_t>();
1307  case PT_INT64: return new CSparseFeatures<int64_t>();
1308  case PT_UINT64: return new CSparseFeatures<uint64_t>();
1309  case PT_FLOAT32: return new CSparseFeatures<float32_t>();
1310  case PT_FLOAT64: return new CSparseFeatures<float64_t>();
1311  case PT_FLOATMAX: return new CSparseFeatures<floatmax_t>();
1312  case PT_COMPLEX128: return NULL;
1313  case PT_SGOBJECT:
1314  case PT_UNDEFINED: return NULL;
1315  }
1316  return NULL;
1317 }
1319 {
1320  switch (g)
1321  {
1322  case PT_BOOL: return new CHashedDenseFeatures<bool>();
1323  case PT_CHAR: return new CHashedDenseFeatures<char>();
1324  case PT_INT8: return new CHashedDenseFeatures<int8_t>();
1325  case PT_UINT8: return new CHashedDenseFeatures<uint8_t>();
1326  case PT_INT16: return new CHashedDenseFeatures<int16_t>();
1327  case PT_UINT16: return new CHashedDenseFeatures<uint16_t>();
1328  case PT_INT32: return new CHashedDenseFeatures<int32_t>();
1329  case PT_UINT32: return new CHashedDenseFeatures<uint32_t>();
1330  case PT_INT64: return new CHashedDenseFeatures<int64_t>();
1331  case PT_UINT64: return new CHashedDenseFeatures<uint64_t>();
1332  case PT_FLOAT32: return new CHashedDenseFeatures<float32_t>();
1333  case PT_FLOAT64: return new CHashedDenseFeatures<float64_t>();
1334  case PT_FLOATMAX: return new CHashedDenseFeatures<floatmax_t>();
1335  case PT_COMPLEX128: return NULL;
1336  case PT_SGOBJECT:
1337  case PT_UNDEFINED: return NULL;
1338  }
1339  return NULL;
1340 }
1342 {
1343  switch (g)
1344  {
1345  case PT_BOOL: return new CHashedSparseFeatures<bool>();
1346  case PT_CHAR: return new CHashedSparseFeatures<char>();
1347  case PT_INT8: return new CHashedSparseFeatures<int8_t>();
1348  case PT_UINT8: return new CHashedSparseFeatures<uint8_t>();
1349  case PT_INT16: return new CHashedSparseFeatures<int16_t>();
1350  case PT_UINT16: return new CHashedSparseFeatures<uint16_t>();
1351  case PT_INT32: return new CHashedSparseFeatures<int32_t>();
1352  case PT_UINT32: return new CHashedSparseFeatures<uint32_t>();
1353  case PT_INT64: return new CHashedSparseFeatures<int64_t>();
1354  case PT_UINT64: return new CHashedSparseFeatures<uint64_t>();
1355  case PT_FLOAT32: return new CHashedSparseFeatures<float32_t>();
1356  case PT_FLOAT64: return new CHashedSparseFeatures<float64_t>();
1357  case PT_FLOATMAX: return new CHashedSparseFeatures<floatmax_t>();
1358  case PT_COMPLEX128: return NULL;
1359  case PT_SGOBJECT:
1360  case PT_UNDEFINED: return NULL;
1361  }
1362  return NULL;
1363 }
1365 {
1366  switch (g)
1367  {
1368  case PT_BOOL: return new CStringFileFeatures<bool>();
1369  case PT_CHAR: return new CStringFileFeatures<char>();
1370  case PT_INT8: return new CStringFileFeatures<int8_t>();
1371  case PT_UINT8: return new CStringFileFeatures<uint8_t>();
1372  case PT_INT16: return new CStringFileFeatures<int16_t>();
1373  case PT_UINT16: return new CStringFileFeatures<uint16_t>();
1374  case PT_INT32: return new CStringFileFeatures<int32_t>();
1375  case PT_UINT32: return new CStringFileFeatures<uint32_t>();
1376  case PT_INT64: return new CStringFileFeatures<int64_t>();
1377  case PT_UINT64: return new CStringFileFeatures<uint64_t>();
1378  case PT_FLOAT32: return new CStringFileFeatures<float32_t>();
1379  case PT_FLOAT64: return new CStringFileFeatures<float64_t>();
1380  case PT_FLOATMAX: return new CStringFileFeatures<floatmax_t>();
1381  case PT_COMPLEX128: return NULL;
1382  case PT_SGOBJECT:
1383  case PT_UNDEFINED: return NULL;
1384  }
1385  return NULL;
1386 }
1388 {
1389  switch (g)
1390  {
1391  case PT_BOOL: return new CDenseSubsetFeatures<bool>();
1392  case PT_CHAR: return new CDenseSubsetFeatures<char>();
1393  case PT_INT8: return new CDenseSubsetFeatures<int8_t>();
1394  case PT_UINT8: return new CDenseSubsetFeatures<uint8_t>();
1395  case PT_INT16: return new CDenseSubsetFeatures<int16_t>();
1396  case PT_UINT16: return new CDenseSubsetFeatures<uint16_t>();
1397  case PT_INT32: return new CDenseSubsetFeatures<int32_t>();
1398  case PT_UINT32: return new CDenseSubsetFeatures<uint32_t>();
1399  case PT_INT64: return new CDenseSubsetFeatures<int64_t>();
1400  case PT_UINT64: return new CDenseSubsetFeatures<uint64_t>();
1401  case PT_FLOAT32: return new CDenseSubsetFeatures<float32_t>();
1402  case PT_FLOAT64: return new CDenseSubsetFeatures<float64_t>();
1403  case PT_FLOATMAX: return new CDenseSubsetFeatures<floatmax_t>();
1404  case PT_COMPLEX128: return NULL;
1405  case PT_SGOBJECT:
1406  case PT_UNDEFINED: return NULL;
1407  }
1408  return NULL;
1409 }
1411 {
1412  switch (g)
1413  {
1414  case PT_BOOL: return new CBinaryStream<bool>();
1415  case PT_CHAR: return new CBinaryStream<char>();
1416  case PT_INT8: return new CBinaryStream<int8_t>();
1417  case PT_UINT8: return new CBinaryStream<uint8_t>();
1418  case PT_INT16: return new CBinaryStream<int16_t>();
1419  case PT_UINT16: return new CBinaryStream<uint16_t>();
1420  case PT_INT32: return new CBinaryStream<int32_t>();
1421  case PT_UINT32: return new CBinaryStream<uint32_t>();
1422  case PT_INT64: return new CBinaryStream<int64_t>();
1423  case PT_UINT64: return new CBinaryStream<uint64_t>();
1424  case PT_FLOAT32: return new CBinaryStream<float32_t>();
1425  case PT_FLOAT64: return new CBinaryStream<float64_t>();
1426  case PT_FLOATMAX: return new CBinaryStream<floatmax_t>();
1427  case PT_COMPLEX128: return NULL;
1428  case PT_SGOBJECT:
1429  case PT_UNDEFINED: return NULL;
1430  }
1431  return NULL;
1432 }
1434 {
1435  switch (g)
1436  {
1437  case PT_BOOL: return new CSimpleFile<bool>();
1438  case PT_CHAR: return new CSimpleFile<char>();
1439  case PT_INT8: return new CSimpleFile<int8_t>();
1440  case PT_UINT8: return new CSimpleFile<uint8_t>();
1441  case PT_INT16: return new CSimpleFile<int16_t>();
1442  case PT_UINT16: return new CSimpleFile<uint16_t>();
1443  case PT_INT32: return new CSimpleFile<int32_t>();
1444  case PT_UINT32: return new CSimpleFile<uint32_t>();
1445  case PT_INT64: return new CSimpleFile<int64_t>();
1446  case PT_UINT64: return new CSimpleFile<uint64_t>();
1447  case PT_FLOAT32: return new CSimpleFile<float32_t>();
1448  case PT_FLOAT64: return new CSimpleFile<float64_t>();
1449  case PT_FLOATMAX: return new CSimpleFile<floatmax_t>();
1450  case PT_COMPLEX128: return NULL;
1451  case PT_SGOBJECT:
1452  case PT_UNDEFINED: return NULL;
1453  }
1454  return NULL;
1455 }
1457 {
1458  switch (g)
1459  {
1460  case PT_BOOL: return new CStreamingFileFromSparseFeatures<bool>();
1461  case PT_CHAR: return new CStreamingFileFromSparseFeatures<char>();
1462  case PT_INT8: return new CStreamingFileFromSparseFeatures<int8_t>();
1463  case PT_UINT8: return new CStreamingFileFromSparseFeatures<uint8_t>();
1464  case PT_INT16: return new CStreamingFileFromSparseFeatures<int16_t>();
1465  case PT_UINT16: return new CStreamingFileFromSparseFeatures<uint16_t>();
1466  case PT_INT32: return new CStreamingFileFromSparseFeatures<int32_t>();
1467  case PT_UINT32: return new CStreamingFileFromSparseFeatures<uint32_t>();
1468  case PT_INT64: return new CStreamingFileFromSparseFeatures<int64_t>();
1469  case PT_UINT64: return new CStreamingFileFromSparseFeatures<uint64_t>();
1470  case PT_FLOAT32: return new CStreamingFileFromSparseFeatures<float32_t>();
1471  case PT_FLOAT64: return new CStreamingFileFromSparseFeatures<float64_t>();
1472  case PT_FLOATMAX: return new CStreamingFileFromSparseFeatures<floatmax_t>();
1473  case PT_COMPLEX128: return NULL;
1474  case PT_SGOBJECT:
1475  case PT_UNDEFINED: return NULL;
1476  }
1477  return NULL;
1478 }
1480 {
1481  switch (g)
1482  {
1483  case PT_BOOL: return new CParseBuffer<bool>();
1484  case PT_CHAR: return new CParseBuffer<char>();
1485  case PT_INT8: return new CParseBuffer<int8_t>();
1486  case PT_UINT8: return new CParseBuffer<uint8_t>();
1487  case PT_INT16: return new CParseBuffer<int16_t>();
1488  case PT_UINT16: return new CParseBuffer<uint16_t>();
1489  case PT_INT32: return new CParseBuffer<int32_t>();
1490  case PT_UINT32: return new CParseBuffer<uint32_t>();
1491  case PT_INT64: return new CParseBuffer<int64_t>();
1492  case PT_UINT64: return new CParseBuffer<uint64_t>();
1493  case PT_FLOAT32: return new CParseBuffer<float32_t>();
1494  case PT_FLOAT64: return new CParseBuffer<float64_t>();
1495  case PT_FLOATMAX: return new CParseBuffer<floatmax_t>();
1496  case PT_COMPLEX128: return NULL;
1497  case PT_SGOBJECT:
1498  case PT_UNDEFINED: return NULL;
1499  }
1500  return NULL;
1501 }
1503 {
1504  switch (g)
1505  {
1506  case PT_BOOL: return new CStreamingFileFromDenseFeatures<bool>();
1507  case PT_CHAR: return new CStreamingFileFromDenseFeatures<char>();
1508  case PT_INT8: return new CStreamingFileFromDenseFeatures<int8_t>();
1509  case PT_UINT8: return new CStreamingFileFromDenseFeatures<uint8_t>();
1510  case PT_INT16: return new CStreamingFileFromDenseFeatures<int16_t>();
1511  case PT_UINT16: return new CStreamingFileFromDenseFeatures<uint16_t>();
1512  case PT_INT32: return new CStreamingFileFromDenseFeatures<int32_t>();
1513  case PT_UINT32: return new CStreamingFileFromDenseFeatures<uint32_t>();
1514  case PT_INT64: return new CStreamingFileFromDenseFeatures<int64_t>();
1515  case PT_UINT64: return new CStreamingFileFromDenseFeatures<uint64_t>();
1516  case PT_FLOAT32: return new CStreamingFileFromDenseFeatures<float32_t>();
1517  case PT_FLOAT64: return new CStreamingFileFromDenseFeatures<float64_t>();
1518  case PT_FLOATMAX: return new CStreamingFileFromDenseFeatures<floatmax_t>();
1519  case PT_COMPLEX128: return NULL;
1520  case PT_SGOBJECT:
1521  case PT_UNDEFINED: return NULL;
1522  }
1523  return NULL;
1524 }
1526 {
1527  switch (g)
1528  {
1529  case PT_BOOL: return new CStreamingFileFromStringFeatures<bool>();
1530  case PT_CHAR: return new CStreamingFileFromStringFeatures<char>();
1531  case PT_INT8: return new CStreamingFileFromStringFeatures<int8_t>();
1532  case PT_UINT8: return new CStreamingFileFromStringFeatures<uint8_t>();
1533  case PT_INT16: return new CStreamingFileFromStringFeatures<int16_t>();
1534  case PT_UINT16: return new CStreamingFileFromStringFeatures<uint16_t>();
1535  case PT_INT32: return new CStreamingFileFromStringFeatures<int32_t>();
1536  case PT_UINT32: return new CStreamingFileFromStringFeatures<uint32_t>();
1537  case PT_INT64: return new CStreamingFileFromStringFeatures<int64_t>();
1538  case PT_UINT64: return new CStreamingFileFromStringFeatures<uint64_t>();
1539  case PT_FLOAT32: return new CStreamingFileFromStringFeatures<float32_t>();
1540  case PT_FLOAT64: return new CStreamingFileFromStringFeatures<float64_t>();
1541  case PT_FLOATMAX: return new CStreamingFileFromStringFeatures<floatmax_t>();
1542  case PT_COMPLEX128: return NULL;
1543  case PT_SGOBJECT:
1544  case PT_UNDEFINED: return NULL;
1545  }
1546  return NULL;
1547 }
1549 {
1550  switch (g)
1551  {
1552  case PT_BOOL: return new CMemoryMappedFile<bool>();
1553  case PT_CHAR: return new CMemoryMappedFile<char>();
1554  case PT_INT8: return new CMemoryMappedFile<int8_t>();
1555  case PT_UINT8: return new CMemoryMappedFile<uint8_t>();
1556  case PT_INT16: return new CMemoryMappedFile<int16_t>();
1557  case PT_UINT16: return new CMemoryMappedFile<uint16_t>();
1558  case PT_INT32: return new CMemoryMappedFile<int32_t>();
1559  case PT_UINT32: return new CMemoryMappedFile<uint32_t>();
1560  case PT_INT64: return new CMemoryMappedFile<int64_t>();
1561  case PT_UINT64: return new CMemoryMappedFile<uint64_t>();
1562  case PT_FLOAT32: return new CMemoryMappedFile<float32_t>();
1563  case PT_FLOAT64: return new CMemoryMappedFile<float64_t>();
1564  case PT_FLOATMAX: return new CMemoryMappedFile<floatmax_t>();
1565  case PT_COMPLEX128: return NULL;
1566  case PT_SGOBJECT:
1567  case PT_UNDEFINED: return NULL;
1568  }
1569  return NULL;
1570 }
1572 {
1573  switch (g)
1574  {
1575  case PT_BOOL: return new CTreeMachine<bool>();
1576  case PT_CHAR: return new CTreeMachine<char>();
1577  case PT_INT8: return new CTreeMachine<int8_t>();
1578  case PT_UINT8: return new CTreeMachine<uint8_t>();
1579  case PT_INT16: return new CTreeMachine<int16_t>();
1580  case PT_UINT16: return new CTreeMachine<uint16_t>();
1581  case PT_INT32: return new CTreeMachine<int32_t>();
1582  case PT_UINT32: return new CTreeMachine<uint32_t>();
1583  case PT_INT64: return new CTreeMachine<int64_t>();
1584  case PT_UINT64: return new CTreeMachine<uint64_t>();
1585  case PT_FLOAT32: return new CTreeMachine<float32_t>();
1586  case PT_FLOAT64: return new CTreeMachine<float64_t>();
1587  case PT_FLOATMAX: return new CTreeMachine<floatmax_t>();
1588  case PT_COMPLEX128: return NULL;
1589  case PT_SGOBJECT:
1590  case PT_UNDEFINED: return NULL;
1591  }
1592  return NULL;
1593 }
1595 {
1596  switch (g)
1597  {
1598  case PT_BOOL: return new CWrappedBasic<bool>();
1599  case PT_CHAR: return new CWrappedBasic<char>();
1600  case PT_INT8: return new CWrappedBasic<int8_t>();
1601  case PT_UINT8: return new CWrappedBasic<uint8_t>();
1602  case PT_INT16: return new CWrappedBasic<int16_t>();
1603  case PT_UINT16: return new CWrappedBasic<uint16_t>();
1604  case PT_INT32: return new CWrappedBasic<int32_t>();
1605  case PT_UINT32: return new CWrappedBasic<uint32_t>();
1606  case PT_INT64: return new CWrappedBasic<int64_t>();
1607  case PT_UINT64: return new CWrappedBasic<uint64_t>();
1608  case PT_FLOAT32: return new CWrappedBasic<float32_t>();
1609  case PT_FLOAT64: return new CWrappedBasic<float64_t>();
1610  case PT_FLOATMAX: return new CWrappedBasic<floatmax_t>();
1611  case PT_COMPLEX128: return NULL;
1612  case PT_SGOBJECT:
1613  case PT_UNDEFINED: return NULL;
1614  }
1615  return NULL;
1616 }
1618 {
1619  switch (g)
1620  {
1621  case PT_BOOL: return new CWrappedSGMatrix<bool>();
1622  case PT_CHAR: return new CWrappedSGMatrix<char>();
1623  case PT_INT8: return new CWrappedSGMatrix<int8_t>();
1624  case PT_UINT8: return new CWrappedSGMatrix<uint8_t>();
1625  case PT_INT16: return new CWrappedSGMatrix<int16_t>();
1626  case PT_UINT16: return new CWrappedSGMatrix<uint16_t>();
1627  case PT_INT32: return new CWrappedSGMatrix<int32_t>();
1628  case PT_UINT32: return new CWrappedSGMatrix<uint32_t>();
1629  case PT_INT64: return new CWrappedSGMatrix<int64_t>();
1630  case PT_UINT64: return new CWrappedSGMatrix<uint64_t>();
1631  case PT_FLOAT32: return new CWrappedSGMatrix<float32_t>();
1632  case PT_FLOAT64: return new CWrappedSGMatrix<float64_t>();
1633  case PT_FLOATMAX: return new CWrappedSGMatrix<floatmax_t>();
1634  case PT_COMPLEX128: return NULL;
1635  case PT_SGOBJECT:
1636  case PT_UNDEFINED: return NULL;
1637  }
1638  return NULL;
1639 }
1640 static SHOGUN_TEMPLATE_CLASS CSGObject* __new_CSet(EPrimitiveType g)
1641 {
1642  switch (g)
1643  {
1644  case PT_BOOL: return new CSet<bool>();
1645  case PT_CHAR: return new CSet<char>();
1646  case PT_INT8: return new CSet<int8_t>();
1647  case PT_UINT8: return new CSet<uint8_t>();
1648  case PT_INT16: return new CSet<int16_t>();
1649  case PT_UINT16: return new CSet<uint16_t>();
1650  case PT_INT32: return new CSet<int32_t>();
1651  case PT_UINT32: return new CSet<uint32_t>();
1652  case PT_INT64: return new CSet<int64_t>();
1653  case PT_UINT64: return new CSet<uint64_t>();
1654  case PT_FLOAT32: return new CSet<float32_t>();
1655  case PT_FLOAT64: return new CSet<float64_t>();
1656  case PT_FLOATMAX: return new CSet<floatmax_t>();
1657  case PT_COMPLEX128: return NULL;
1658  case PT_SGOBJECT:
1659  case PT_UNDEFINED: return NULL;
1660  }
1661  return NULL;
1662 }
1664 {
1665  switch (g)
1666  {
1667  case PT_BOOL: return new CCache<bool>();
1668  case PT_CHAR: return new CCache<char>();
1669  case PT_INT8: return new CCache<int8_t>();
1670  case PT_UINT8: return new CCache<uint8_t>();
1671  case PT_INT16: return new CCache<int16_t>();
1672  case PT_UINT16: return new CCache<uint16_t>();
1673  case PT_INT32: return new CCache<int32_t>();
1674  case PT_UINT32: return new CCache<uint32_t>();
1675  case PT_INT64: return new CCache<int64_t>();
1676  case PT_UINT64: return new CCache<uint64_t>();
1677  case PT_FLOAT32: return new CCache<float32_t>();
1678  case PT_FLOAT64: return new CCache<float64_t>();
1679  case PT_FLOATMAX: return new CCache<floatmax_t>();
1680  case PT_COMPLEX128: return NULL;
1681  case PT_SGOBJECT:
1682  case PT_UNDEFINED: return NULL;
1683  }
1684  return NULL;
1685 }
1687 {
1688  switch (g)
1689  {
1690  case PT_BOOL: return new CDynamicArray<bool>();
1691  case PT_CHAR: return new CDynamicArray<char>();
1692  case PT_INT8: return new CDynamicArray<int8_t>();
1693  case PT_UINT8: return new CDynamicArray<uint8_t>();
1694  case PT_INT16: return new CDynamicArray<int16_t>();
1695  case PT_UINT16: return new CDynamicArray<uint16_t>();
1696  case PT_INT32: return new CDynamicArray<int32_t>();
1697  case PT_UINT32: return new CDynamicArray<uint32_t>();
1698  case PT_INT64: return new CDynamicArray<int64_t>();
1699  case PT_UINT64: return new CDynamicArray<uint64_t>();
1700  case PT_FLOAT32: return new CDynamicArray<float32_t>();
1701  case PT_FLOAT64: return new CDynamicArray<float64_t>();
1702  case PT_FLOATMAX: return new CDynamicArray<floatmax_t>();
1703  case PT_COMPLEX128: return NULL;
1704  case PT_SGOBJECT:
1705  case PT_UNDEFINED: return NULL;
1706  }
1707  return NULL;
1708 }
1710 {
1711  switch (g)
1712  {
1713  case PT_BOOL: return new CWrappedSGVector<bool>();
1714  case PT_CHAR: return new CWrappedSGVector<char>();
1715  case PT_INT8: return new CWrappedSGVector<int8_t>();
1716  case PT_UINT8: return new CWrappedSGVector<uint8_t>();
1717  case PT_INT16: return new CWrappedSGVector<int16_t>();
1718  case PT_UINT16: return new CWrappedSGVector<uint16_t>();
1719  case PT_INT32: return new CWrappedSGVector<int32_t>();
1720  case PT_UINT32: return new CWrappedSGVector<uint32_t>();
1721  case PT_INT64: return new CWrappedSGVector<int64_t>();
1722  case PT_UINT64: return new CWrappedSGVector<uint64_t>();
1723  case PT_FLOAT32: return new CWrappedSGVector<float32_t>();
1724  case PT_FLOAT64: return new CWrappedSGVector<float64_t>();
1725  case PT_FLOATMAX: return new CWrappedSGVector<floatmax_t>();
1726  case PT_COMPLEX128: return NULL;
1727  case PT_SGOBJECT:
1728  case PT_UNDEFINED: return NULL;
1729  }
1730  return NULL;
1731 }
1733 {
1734  switch (g)
1735  {
1736  case PT_BOOL: return new CStoreScalarAggregator<bool>();
1737  case PT_CHAR: return new CStoreScalarAggregator<char>();
1738  case PT_INT8: return new CStoreScalarAggregator<int8_t>();
1739  case PT_UINT8: return new CStoreScalarAggregator<uint8_t>();
1740  case PT_INT16: return new CStoreScalarAggregator<int16_t>();
1741  case PT_UINT16: return new CStoreScalarAggregator<uint16_t>();
1742  case PT_INT32: return new CStoreScalarAggregator<int32_t>();
1743  case PT_UINT32: return new CStoreScalarAggregator<uint32_t>();
1744  case PT_INT64: return new CStoreScalarAggregator<int64_t>();
1745  case PT_UINT64: return new CStoreScalarAggregator<uint64_t>();
1746  case PT_FLOAT32: return new CStoreScalarAggregator<float32_t>();
1747  case PT_FLOAT64: return new CStoreScalarAggregator<float64_t>();
1748  case PT_FLOATMAX: return new CStoreScalarAggregator<floatmax_t>();
1749  case PT_COMPLEX128: return new CStoreScalarAggregator<complex128_t>();
1750  case PT_SGOBJECT:
1751  case PT_UNDEFINED: return NULL;
1752  }
1753  return NULL;
1754 }
1756 {
1757  switch (g)
1758  {
1759  case PT_BOOL: return new CScalarResult<bool>();
1760  case PT_CHAR: return new CScalarResult<char>();
1761  case PT_INT8: return new CScalarResult<int8_t>();
1762  case PT_UINT8: return new CScalarResult<uint8_t>();
1763  case PT_INT16: return new CScalarResult<int16_t>();
1764  case PT_UINT16: return new CScalarResult<uint16_t>();
1765  case PT_INT32: return new CScalarResult<int32_t>();
1766  case PT_UINT32: return new CScalarResult<uint32_t>();
1767  case PT_INT64: return new CScalarResult<int64_t>();
1768  case PT_UINT64: return new CScalarResult<uint64_t>();
1769  case PT_FLOAT32: return new CScalarResult<float32_t>();
1770  case PT_FLOAT64: return new CScalarResult<float64_t>();
1771  case PT_FLOATMAX: return new CScalarResult<floatmax_t>();
1772  case PT_COMPLEX128: return new CScalarResult<complex128_t>();
1773  case PT_SGOBJECT:
1774  case PT_UNDEFINED: return NULL;
1775  }
1776  return NULL;
1777 }
1779 {
1780  switch (g)
1781  {
1782  case PT_BOOL: return new CVectorResult<bool>();
1783  case PT_CHAR: return new CVectorResult<char>();
1784  case PT_INT8: return new CVectorResult<int8_t>();
1785  case PT_UINT8: return new CVectorResult<uint8_t>();
1786  case PT_INT16: return new CVectorResult<int16_t>();
1787  case PT_UINT16: return new CVectorResult<uint16_t>();
1788  case PT_INT32: return new CVectorResult<int32_t>();
1789  case PT_UINT32: return new CVectorResult<uint32_t>();
1790  case PT_INT64: return new CVectorResult<int64_t>();
1791  case PT_UINT64: return new CVectorResult<uint64_t>();
1792  case PT_FLOAT32: return new CVectorResult<float32_t>();
1793  case PT_FLOAT64: return new CVectorResult<float64_t>();
1794  case PT_FLOATMAX: return new CVectorResult<floatmax_t>();
1795  case PT_COMPLEX128: return new CVectorResult<complex128_t>();
1796  case PT_SGOBJECT:
1797  case PT_UNDEFINED: return NULL;
1798  }
1799  return NULL;
1800 }
1802 {
1803  switch (g)
1804  {
1805  case PT_BOOL: return new CSparseMatrixOperator<bool>();
1806  case PT_CHAR: return new CSparseMatrixOperator<char>();
1807  case PT_INT8: return new CSparseMatrixOperator<int8_t>();
1808  case PT_UINT8: return new CSparseMatrixOperator<uint8_t>();
1809  case PT_INT16: return new CSparseMatrixOperator<int16_t>();
1810  case PT_UINT16: return new CSparseMatrixOperator<uint16_t>();
1811  case PT_INT32: return new CSparseMatrixOperator<int32_t>();
1812  case PT_UINT32: return new CSparseMatrixOperator<uint32_t>();
1813  case PT_INT64: return new CSparseMatrixOperator<int64_t>();
1814  case PT_UINT64: return new CSparseMatrixOperator<uint64_t>();
1815  case PT_FLOAT32: return new CSparseMatrixOperator<float32_t>();
1816  case PT_FLOAT64: return new CSparseMatrixOperator<float64_t>();
1817  case PT_FLOATMAX: return new CSparseMatrixOperator<floatmax_t>();
1818  case PT_COMPLEX128: return new CSparseMatrixOperator<complex128_t>();
1819  case PT_SGOBJECT:
1820  case PT_UNDEFINED: return NULL;
1821  }
1822  return NULL;
1823 }
1825 {
1826  switch (g)
1827  {
1828  case PT_BOOL: return new CDenseMatrixOperator<bool>();
1829  case PT_CHAR: return new CDenseMatrixOperator<char>();
1830  case PT_INT8: return new CDenseMatrixOperator<int8_t>();
1831  case PT_UINT8: return new CDenseMatrixOperator<uint8_t>();
1832  case PT_INT16: return new CDenseMatrixOperator<int16_t>();
1833  case PT_UINT16: return new CDenseMatrixOperator<uint16_t>();
1834  case PT_INT32: return new CDenseMatrixOperator<int32_t>();
1835  case PT_UINT32: return new CDenseMatrixOperator<uint32_t>();
1836  case PT_INT64: return new CDenseMatrixOperator<int64_t>();
1837  case PT_UINT64: return new CDenseMatrixOperator<uint64_t>();
1838  case PT_FLOAT32: return new CDenseMatrixOperator<float32_t>();
1839  case PT_FLOAT64: return new CDenseMatrixOperator<float64_t>();
1840  case PT_FLOATMAX: return new CDenseMatrixOperator<floatmax_t>();
1841  case PT_COMPLEX128: return new CDenseMatrixOperator<complex128_t>();
1842  case PT_SGOBJECT:
1843  case PT_UNDEFINED: return NULL;
1844  }
1845  return NULL;
1846 }
1847 typedef CSGObject* (*new_sgserializable_t)(EPrimitiveType generic);
1848 #ifndef DOXYGEN_SHOULD_SKIP_THIS
1849 typedef struct
1850 {
1851  const char* m_class_name;
1852  new_sgserializable_t m_new_sgserializable;
1853 } class_list_entry_t;
1854 #endif
1855 
1856 static class_list_entry_t class_list[] = {
1857 {"NormOne", SHOGUN_BASIC_CLASS __new_CNormOne},
1858 {"PNorm", SHOGUN_BASIC_CLASS __new_CPNorm},
1859 {"RescaleFeatures", SHOGUN_BASIC_CLASS __new_CRescaleFeatures},
1860 {"KernelPCA", SHOGUN_BASIC_CLASS __new_CKernelPCA},
1861 {"DimensionReductionPreprocessor", SHOGUN_BASIC_CLASS __new_CDimensionReductionPreprocessor},
1862 {"BAHSIC", SHOGUN_BASIC_CLASS __new_CBAHSIC},
1863 {"SortWordString", SHOGUN_BASIC_CLASS __new_CSortWordString},
1864 {"PruneVarSubMean", SHOGUN_BASIC_CLASS __new_CPruneVarSubMean},
1865 {"SumOne", SHOGUN_BASIC_CLASS __new_CSumOne},
1866 {"HomogeneousKernelMap", SHOGUN_BASIC_CLASS __new_CHomogeneousKernelMap},
1868 {"FisherLDA", SHOGUN_BASIC_CLASS __new_CFisherLDA},
1869 {"SortUlongString", SHOGUN_BASIC_CLASS __new_CSortUlongString},
1870 {"RandomFourierGaussPreproc", SHOGUN_BASIC_CLASS __new_CRandomFourierGaussPreproc},
1871 {"LogPlusOne", SHOGUN_BASIC_CLASS __new_CLogPlusOne},
1872 {"GradientCriterion", SHOGUN_BASIC_CLASS __new_CGradientCriterion},
1873 {"CrossValidationMKLStorage", SHOGUN_BASIC_CLASS __new_CCrossValidationMKLStorage},
1874 {"MeanSquaredLogError", SHOGUN_BASIC_CLASS __new_CMeanSquaredLogError},
1875 {"PRCEvaluation", SHOGUN_BASIC_CLASS __new_CPRCEvaluation},
1876 {"ClusteringAccuracy", SHOGUN_BASIC_CLASS __new_CClusteringAccuracy},
1877 {"StratifiedCrossValidationSplitting", SHOGUN_BASIC_CLASS __new_CStratifiedCrossValidationSplitting},
1878 {"ClusteringMutualInformation", SHOGUN_BASIC_CLASS __new_CClusteringMutualInformation},
1879 {"StructuredAccuracy", SHOGUN_BASIC_CLASS __new_CStructuredAccuracy},
1880 {"ContingencyTableEvaluation", SHOGUN_BASIC_CLASS __new_CContingencyTableEvaluation},
1881 {"AccuracyMeasure", SHOGUN_BASIC_CLASS __new_CAccuracyMeasure},
1882 {"ErrorRateMeasure", SHOGUN_BASIC_CLASS __new_CErrorRateMeasure},
1883 {"BALMeasure", SHOGUN_BASIC_CLASS __new_CBALMeasure},
1884 {"WRACCMeasure", SHOGUN_BASIC_CLASS __new_CWRACCMeasure},
1885 {"F1Measure", SHOGUN_BASIC_CLASS __new_CF1Measure},
1886 {"CrossCorrelationMeasure", SHOGUN_BASIC_CLASS __new_CCrossCorrelationMeasure},
1887 {"RecallMeasure", SHOGUN_BASIC_CLASS __new_CRecallMeasure},
1888 {"PrecisionMeasure", SHOGUN_BASIC_CLASS __new_CPrecisionMeasure},
1889 {"SpecificityMeasure", SHOGUN_BASIC_CLASS __new_CSpecificityMeasure},
1890 {"ROCEvaluation", SHOGUN_BASIC_CLASS __new_CROCEvaluation},
1891 {"LOOCrossValidationSplitting", SHOGUN_BASIC_CLASS __new_CLOOCrossValidationSplitting},
1892 {"MeanAbsoluteError", SHOGUN_BASIC_CLASS __new_CMeanAbsoluteError},
1893 {"GradientResult", SHOGUN_BASIC_CLASS __new_CGradientResult},
1894 {"MeanSquaredError", SHOGUN_BASIC_CLASS __new_CMeanSquaredError},
1895 {"MulticlassAccuracy", SHOGUN_BASIC_CLASS __new_CMulticlassAccuracy},
1896 {"MulticlassOVREvaluation", SHOGUN_BASIC_CLASS __new_CMulticlassOVREvaluation},
1897 {"CrossValidationMulticlassStorage", SHOGUN_BASIC_CLASS __new_CCrossValidationMulticlassStorage},
1898 {"CrossValidationResult", SHOGUN_BASIC_CLASS __new_CCrossValidationResult},
1899 {"CrossValidation", SHOGUN_BASIC_CLASS __new_CCrossValidation},
1900 {"MultilabelAccuracy", SHOGUN_BASIC_CLASS __new_CMultilabelAccuracy},
1901 {"CrossValidationPrintOutput", SHOGUN_BASIC_CLASS __new_CCrossValidationPrintOutput},
1902 {"GradientEvaluation", SHOGUN_BASIC_CLASS __new_CGradientEvaluation},
1903 {"CrossValidationSplitting", SHOGUN_BASIC_CLASS __new_CCrossValidationSplitting},
1904 {"DomainAdaptationSVM", SHOGUN_BASIC_CLASS __new_CDomainAdaptationSVM},
1905 {"DomainAdaptationSVMLinear", SHOGUN_BASIC_CLASS __new_CDomainAdaptationSVMLinear},
1906 {"DomainAdaptationMulticlassLibLinear", SHOGUN_BASIC_CLASS __new_CDomainAdaptationMulticlassLibLinear},
1907 {"MultitaskKernelPlifNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelPlifNormalizer},
1908 {"MultitaskKernelNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelNormalizer},
1909 {"TaskTree", SHOGUN_BASIC_CLASS __new_CTaskTree},
1910 {"MultitaskKernelMaskPairNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelMaskPairNormalizer},
1911 {"TaskGroup", SHOGUN_BASIC_CLASS __new_CTaskGroup},
1912 {"MultitaskL12LogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskL12LogisticRegression},
1914 {"MultitaskLogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskLogisticRegression},
1915 {"MultitaskTraceLogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskTraceLogisticRegression},
1916 {"MultitaskClusteredLogisticRegression", SHOGUN_BASIC_CLASS __new_CMultitaskClusteredLogisticRegression},
1917 {"MultitaskROCEvaluation", SHOGUN_BASIC_CLASS __new_CMultitaskROCEvaluation},
1918 {"MultitaskLeastSquaresRegression", SHOGUN_BASIC_CLASS __new_CMultitaskLeastSquaresRegression},
1919 {"LibLinearMTL", SHOGUN_BASIC_CLASS __new_CLibLinearMTL},
1921 {"MultitaskKernelTreeNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelTreeNormalizer},
1922 {"MultitaskKernelMaskNormalizer", SHOGUN_BASIC_CLASS __new_CMultitaskKernelMaskNormalizer},
1923 {"MultitaskLinearMachine", SHOGUN_BASIC_CLASS __new_CMultitaskLinearMachine},
1924 {"KMeansMiniBatch", SHOGUN_BASIC_CLASS __new_CKMeansMiniBatch},
1926 {"KMeans", SHOGUN_BASIC_CLASS __new_CKMeans},
1927 {"Hierarchical", SHOGUN_BASIC_CLASS __new_CHierarchical},
1928 {"KMeansBase", SHOGUN_BASIC_CLASS __new_CKMeansBase},
1929 {"GeodesicMetric", SHOGUN_BASIC_CLASS __new_CGeodesicMetric},
1930 {"CustomDistance", SHOGUN_BASIC_CLASS __new_CCustomDistance},
1931 {"CanberraWordDistance", SHOGUN_BASIC_CLASS __new_CCanberraWordDistance},
1932 {"BrayCurtisDistance", SHOGUN_BASIC_CLASS __new_CBrayCurtisDistance},
1933 {"MahalanobisDistance", SHOGUN_BASIC_CLASS __new_CMahalanobisDistance},
1934 {"MinkowskiMetric", SHOGUN_BASIC_CLASS __new_CMinkowskiMetric},
1935 {"KernelDistance", SHOGUN_BASIC_CLASS __new_CKernelDistance},
1936 {"HammingWordDistance", SHOGUN_BASIC_CLASS __new_CHammingWordDistance},
1937 {"ChiSquareDistance", SHOGUN_BASIC_CLASS __new_CChiSquareDistance},
1938 {"CustomMahalanobisDistance", SHOGUN_BASIC_CLASS __new_CCustomMahalanobisDistance},
1939 {"CanberraMetric", SHOGUN_BASIC_CLASS __new_CCanberraMetric},
1940 {"EuclideanDistance", SHOGUN_BASIC_CLASS __new_CEuclideanDistance},
1941 {"JensenMetric", SHOGUN_BASIC_CLASS __new_CJensenMetric},
1942 {"AttenuatedEuclideanDistance", SHOGUN_BASIC_CLASS __new_CAttenuatedEuclideanDistance},
1943 {"ManhattanMetric", SHOGUN_BASIC_CLASS __new_CManhattanMetric},
1944 {"SparseEuclideanDistance", SHOGUN_BASIC_CLASS __new_CSparseEuclideanDistance},
1945 {"CosineDistance", SHOGUN_BASIC_CLASS __new_CCosineDistance},
1946 {"ChebyshewMetric", SHOGUN_BASIC_CLASS __new_CChebyshewMetric},
1947 {"TanimotoDistance", SHOGUN_BASIC_CLASS __new_CTanimotoDistance},
1948 {"ManhattanWordDistance", SHOGUN_BASIC_CLASS __new_CManhattanWordDistance},
1949 {"DataGenerator", SHOGUN_BASIC_CLASS __new_CDataGenerator},
1950 {"Subset", SHOGUN_BASIC_CLASS __new_CSubset},
1951 {"CombinedDotFeatures", SHOGUN_BASIC_CLASS __new_CCombinedDotFeatures},
1952 {"Alphabet", SHOGUN_BASIC_CLASS __new_CAlphabet},
1953 {"ExplicitSpecFeatures", SHOGUN_BASIC_CLASS __new_CExplicitSpecFeatures},
1954 {"StreamingHashedDocDotFeatures", SHOGUN_BASIC_CLASS __new_CStreamingHashedDocDotFeatures},
1955 {"StreamingVwFeatures", SHOGUN_BASIC_CLASS __new_CStreamingVwFeatures},
1956 {"MeanShiftDataGenerator", SHOGUN_BASIC_CLASS __new_CMeanShiftDataGenerator},
1957 {"GaussianBlobsDataGenerator", SHOGUN_BASIC_CLASS __new_CGaussianBlobsDataGenerator},
1958 {"WDFeatures", SHOGUN_BASIC_CLASS __new_CWDFeatures},
1959 {"CombinedFeatures", SHOGUN_BASIC_CLASS __new_CCombinedFeatures},
1960 {"IndexFeatures", SHOGUN_BASIC_CLASS __new_CIndexFeatures},
1961 {"SNPFeatures", SHOGUN_BASIC_CLASS __new_CSNPFeatures},
1962 {"BinnedDotFeatures", SHOGUN_BASIC_CLASS __new_CBinnedDotFeatures},
1963 {"LBPPyrDotFeatures", SHOGUN_BASIC_CLASS __new_CLBPPyrDotFeatures},
1964 {"PolyFeatures", SHOGUN_BASIC_CLASS __new_CPolyFeatures},
1965 {"TOPFeatures", SHOGUN_BASIC_CLASS __new_CTOPFeatures},
1966 {"RandomFourierDotFeatures", SHOGUN_BASIC_CLASS __new_CRandomFourierDotFeatures},
1967 {"HashedWDFeatures", SHOGUN_BASIC_CLASS __new_CHashedWDFeatures},
1968 {"HashedWDFeaturesTransposed", SHOGUN_BASIC_CLASS __new_CHashedWDFeaturesTransposed},
1969 {"HashedDocDotFeatures", SHOGUN_BASIC_CLASS __new_CHashedDocDotFeatures},
1970 {"FKFeatures", SHOGUN_BASIC_CLASS __new_CFKFeatures},
1971 {"SubsetStack", SHOGUN_BASIC_CLASS __new_CSubsetStack},
1972 {"RealFileFeatures", SHOGUN_BASIC_CLASS __new_CRealFileFeatures},
1973 {"SparsePolyFeatures", SHOGUN_BASIC_CLASS __new_CSparsePolyFeatures},
1974 {"FactorGraphFeatures", SHOGUN_BASIC_CLASS __new_CFactorGraphFeatures},
1975 {"ImplicitWeightedSpecFeatures", SHOGUN_BASIC_CLASS __new_CImplicitWeightedSpecFeatures},
1976 {"DummyFeatures", SHOGUN_BASIC_CLASS __new_CDummyFeatures},
1977 {"LatentFeatures", SHOGUN_BASIC_CLASS __new_CLatentFeatures},
1978 {"LineReader", SHOGUN_BASIC_CLASS __new_CLineReader},
1979 {"CSVFile", SHOGUN_BASIC_CLASS __new_CCSVFile},
1980 {"LibSVMFile", SHOGUN_BASIC_CLASS __new_CLibSVMFile},
1981 {"StreamingVwCacheFile", SHOGUN_BASIC_CLASS __new_CStreamingVwCacheFile},
1982 {"StreamingFileFromFeatures", SHOGUN_BASIC_CLASS __new_CStreamingFileFromFeatures},
1983 {"StreamingVwFile", SHOGUN_BASIC_CLASS __new_CStreamingVwFile},
1984 {"StreamingFile", SHOGUN_BASIC_CLASS __new_CStreamingFile},
1985 {"StreamingAsciiFile", SHOGUN_BASIC_CLASS __new_CStreamingAsciiFile},
1986 {"BinaryFile", SHOGUN_BASIC_CLASS __new_CBinaryFile},
1987 {"SerializableAsciiFile", SHOGUN_BASIC_CLASS __new_CSerializableAsciiFile},
1988 {"IOBuffer", SHOGUN_BASIC_CLASS __new_CIOBuffer},
1990 {"UAIFile", SHOGUN_BASIC_CLASS __new_CUAIFile},
1991 {"Parser", SHOGUN_BASIC_CLASS __new_CParser},
1992 {"NeuralNetworkFileReader", SHOGUN_BASIC_CLASS __new_CNeuralNetworkFileReader},
1993 {"NeuralConvolutionalLayer", SHOGUN_BASIC_CLASS __new_CNeuralConvolutionalLayer},
1994 {"NeuralNetwork", SHOGUN_BASIC_CLASS __new_CNeuralNetwork},
1995 {"NeuralLayers", SHOGUN_BASIC_CLASS __new_CNeuralLayers},
1996 {"DeepAutoencoder", SHOGUN_BASIC_CLASS __new_CDeepAutoencoder},
1997 {"NeuralLeakyRectifiedLinearLayer", SHOGUN_BASIC_CLASS __new_CNeuralLeakyRectifiedLinearLayer},
1999 {"NeuralLinearLayer", SHOGUN_BASIC_CLASS __new_CNeuralLinearLayer},
2000 {"NeuralSoftmaxLayer", SHOGUN_BASIC_CLASS __new_CNeuralSoftmaxLayer},
2001 {"NeuralRectifiedLinearLayer", SHOGUN_BASIC_CLASS __new_CNeuralRectifiedLinearLayer},
2002 {"DeepBeliefNetwork", SHOGUN_BASIC_CLASS __new_CDeepBeliefNetwork},
2003 {"Autoencoder", SHOGUN_BASIC_CLASS __new_CAutoencoder},
2004 {"NeuralLogisticLayer", SHOGUN_BASIC_CLASS __new_CNeuralLogisticLayer},
2005 {"NeuralInputLayer", SHOGUN_BASIC_CLASS __new_CNeuralInputLayer},
2006 {"NeuralLayer", SHOGUN_BASIC_CLASS __new_CNeuralLayer},
2007 {"PyramidChi2", SHOGUN_BASIC_CLASS __new_CPyramidChi2},
2008 {"SqrtDiagKernelNormalizer", SHOGUN_BASIC_CLASS __new_CSqrtDiagKernelNormalizer},
2009 {"AvgDiagKernelNormalizer", SHOGUN_BASIC_CLASS __new_CAvgDiagKernelNormalizer},
2010 {"VarianceKernelNormalizer", SHOGUN_BASIC_CLASS __new_CVarianceKernelNormalizer},
2011 {"IdentityKernelNormalizer", SHOGUN_BASIC_CLASS __new_CIdentityKernelNormalizer},
2012 {"FirstElementKernelNormalizer", SHOGUN_BASIC_CLASS __new_CFirstElementKernelNormalizer},
2013 {"TanimotoKernelNormalizer", SHOGUN_BASIC_CLASS __new_CTanimotoKernelNormalizer},
2014 {"ScatterKernelNormalizer", SHOGUN_BASIC_CLASS __new_CScatterKernelNormalizer},
2015 {"RidgeKernelNormalizer", SHOGUN_BASIC_CLASS __new_CRidgeKernelNormalizer},
2016 {"DiceKernelNormalizer", SHOGUN_BASIC_CLASS __new_CDiceKernelNormalizer},
2017 {"ZeroMeanCenterKernelNormalizer", SHOGUN_BASIC_CLASS __new_CZeroMeanCenterKernelNormalizer},
2018 {"GaussianShiftKernel", SHOGUN_BASIC_CLASS __new_CGaussianShiftKernel},
2019 {"CircularKernel", SHOGUN_BASIC_CLASS __new_CCircularKernel},
2020 {"GaussianCompactKernel", SHOGUN_BASIC_CLASS __new_CGaussianCompactKernel},
2021 {"PeriodicKernel", SHOGUN_BASIC_CLASS __new_CPeriodicKernel},
2022 {"ANOVAKernel", SHOGUN_BASIC_CLASS __new_CANOVAKernel},
2023 {"TensorProductPairKernel", SHOGUN_BASIC_CLASS __new_CTensorProductPairKernel},
2024 {"PowerKernel", SHOGUN_BASIC_CLASS __new_CPowerKernel},
2025 {"GaussianShortRealKernel", SHOGUN_BASIC_CLASS __new_CGaussianShortRealKernel},
2026 {"BesselKernel", SHOGUN_BASIC_CLASS __new_CBesselKernel},
2027 {"WaveKernel", SHOGUN_BASIC_CLASS __new_CWaveKernel},
2028 {"InverseMultiQuadricKernel", SHOGUN_BASIC_CLASS __new_CInverseMultiQuadricKernel},
2029 {"ExponentialKernel", SHOGUN_BASIC_CLASS __new_CExponentialKernel},
2030 {"TStudentKernel", SHOGUN_BASIC_CLASS __new_CTStudentKernel},
2031 {"LogKernel", SHOGUN_BASIC_CLASS __new_CLogKernel},
2032 {"AUCKernel", SHOGUN_BASIC_CLASS __new_CAUCKernel},
2033 {"ProductKernel", SHOGUN_BASIC_CLASS __new_CProductKernel},
2034 {"Chi2Kernel", SHOGUN_BASIC_CLASS __new_CChi2Kernel},
2035 {"HistogramIntersectionKernel", SHOGUN_BASIC_CLASS __new_CHistogramIntersectionKernel},
2036 {"ConstKernel", SHOGUN_BASIC_CLASS __new_CConstKernel},
2037 {"SplineKernel", SHOGUN_BASIC_CLASS __new_CSplineKernel},
2038 {"RationalQuadraticKernel", SHOGUN_BASIC_CLASS __new_CRationalQuadraticKernel},
2039 {"WeightedDegreeRBFKernel", SHOGUN_BASIC_CLASS __new_CWeightedDegreeRBFKernel},
2040 {"GaussianARDKernel", SHOGUN_BASIC_CLASS __new_CGaussianARDKernel},
2041 {"JensenShannonKernel", SHOGUN_BASIC_CLASS __new_CJensenShannonKernel},
2042 {"SpectrumMismatchRBFKernel", SHOGUN_BASIC_CLASS __new_CSpectrumMismatchRBFKernel},
2043 {"GaussianMatchStringKernel", SHOGUN_BASIC_CLASS __new_CGaussianMatchStringKernel},
2044 {"SparseSpatialSampleStringKernel", SHOGUN_BASIC_CLASS __new_CSparseSpatialSampleStringKernel},
2045 {"HistogramWordStringKernel", SHOGUN_BASIC_CLASS __new_CHistogramWordStringKernel},
2046 {"LocalAlignmentStringKernel", SHOGUN_BASIC_CLASS __new_CLocalAlignmentStringKernel},
2047 {"PolyMatchStringKernel", SHOGUN_BASIC_CLASS __new_CPolyMatchStringKernel},
2048 {"RegulatoryModulesStringKernel", SHOGUN_BASIC_CLASS __new_CRegulatoryModulesStringKernel},
2049 {"WeightedCommWordStringKernel", SHOGUN_BASIC_CLASS __new_CWeightedCommWordStringKernel},
2050 {"WeightedDegreeStringKernel", SHOGUN_BASIC_CLASS __new_CWeightedDegreeStringKernel},
2051 {"FixedDegreeStringKernel", SHOGUN_BASIC_CLASS __new_CFixedDegreeStringKernel},
2052 {"SNPStringKernel", SHOGUN_BASIC_CLASS __new_CSNPStringKernel},
2053 {"CommUlongStringKernel", SHOGUN_BASIC_CLASS __new_CCommUlongStringKernel},
2054 {"WeightedDegreePositionStringKernel", SHOGUN_BASIC_CLASS __new_CWeightedDegreePositionStringKernel},
2055 {"LinearStringKernel", SHOGUN_BASIC_CLASS __new_CLinearStringKernel},
2056 {"LocalityImprovedStringKernel", SHOGUN_BASIC_CLASS __new_CLocalityImprovedStringKernel},
2057 {"DistantSegmentsKernel", SHOGUN_BASIC_CLASS __new_CDistantSegmentsKernel},
2058 {"SimpleLocalityImprovedStringKernel", SHOGUN_BASIC_CLASS __new_CSimpleLocalityImprovedStringKernel},
2059 {"SubsequenceStringKernel", SHOGUN_BASIC_CLASS __new_CSubsequenceStringKernel},
2060 {"OligoStringKernel", SHOGUN_BASIC_CLASS __new_COligoStringKernel},
2061 {"SpectrumRBFKernel", SHOGUN_BASIC_CLASS __new_CSpectrumRBFKernel},
2062 {"PolyMatchWordStringKernel", SHOGUN_BASIC_CLASS __new_CPolyMatchWordStringKernel},
2063 {"CommWordStringKernel", SHOGUN_BASIC_CLASS __new_CCommWordStringKernel},
2064 {"MatchWordStringKernel", SHOGUN_BASIC_CLASS __new_CMatchWordStringKernel},
2065 {"SalzbergWordStringKernel", SHOGUN_BASIC_CLASS __new_CSalzbergWordStringKernel},
2066 {"SphericalKernel", SHOGUN_BASIC_CLASS __new_CSphericalKernel},
2067 {"WaveletKernel", SHOGUN_BASIC_CLASS __new_CWaveletKernel},
2068 {"GaussianKernel", SHOGUN_BASIC_CLASS __new_CGaussianKernel},
2069 {"DistanceKernel", SHOGUN_BASIC_CLASS __new_CDistanceKernel},
2070 {"SigmoidKernel", SHOGUN_BASIC_CLASS __new_CSigmoidKernel},
2071 {"MultiquadricKernel", SHOGUN_BASIC_CLASS __new_CMultiquadricKernel},
2072 {"CombinedKernel", SHOGUN_BASIC_CLASS __new_CCombinedKernel},
2073 {"CustomKernel", SHOGUN_BASIC_CLASS __new_CCustomKernel},
2074 {"PolyKernel", SHOGUN_BASIC_CLASS __new_CPolyKernel},
2075 {"DiagKernel", SHOGUN_BASIC_CLASS __new_CDiagKernel},
2076 {"LinearKernel", SHOGUN_BASIC_CLASS __new_CLinearKernel},
2077 {"CauchyKernel", SHOGUN_BASIC_CLASS __new_CCauchyKernel},
2078 {"RegressionLabels", SHOGUN_BASIC_CLASS __new_CRegressionLabels},
2079 {"LabelsFactory", SHOGUN_BASIC_CLASS __new_CLabelsFactory},
2080 {"FactorGraphObservation", SHOGUN_BASIC_CLASS __new_CFactorGraphObservation},
2081 {"FactorGraphLabels", SHOGUN_BASIC_CLASS __new_CFactorGraphLabels},
2082 {"MulticlassLabels", SHOGUN_BASIC_CLASS __new_CMulticlassLabels},
2083 {"LatentLabels", SHOGUN_BASIC_CLASS __new_CLatentLabels},
2084 {"BinaryLabels", SHOGUN_BASIC_CLASS __new_CBinaryLabels},
2085 {"MultilabelLabels", SHOGUN_BASIC_CLASS __new_CMultilabelLabels},
2086 {"StructuredLabels", SHOGUN_BASIC_CLASS __new_CStructuredLabels},
2088 {"LaRank", SHOGUN_BASIC_CLASS __new_CLaRank},
2089 {"MulticlassLibSVM", SHOGUN_BASIC_CLASS __new_CMulticlassLibSVM},
2090 {"ScatterSVM", SHOGUN_BASIC_CLASS __new_CScatterSVM},
2091 {"MulticlassSVM", SHOGUN_BASIC_CLASS __new_CMulticlassSVM},
2092 {"ShareBoost", SHOGUN_BASIC_CLASS __new_CShareBoost},
2093 {"GaussianNaiveBayes", SHOGUN_BASIC_CLASS __new_CGaussianNaiveBayes},
2094 {"MulticlassOneVsOneStrategy", SHOGUN_BASIC_CLASS __new_CMulticlassOneVsOneStrategy},
2095 {"ECOCOVREncoder", SHOGUN_BASIC_CLASS __new_CECOCOVREncoder},
2096 {"ECOCOVOEncoder", SHOGUN_BASIC_CLASS __new_CECOCOVOEncoder},
2097 {"ECOCEDDecoder", SHOGUN_BASIC_CLASS __new_CECOCEDDecoder},
2098 {"ECOCHDDecoder", SHOGUN_BASIC_CLASS __new_CECOCHDDecoder},
2099 {"ECOCRandomDenseEncoder", SHOGUN_BASIC_CLASS __new_CECOCRandomDenseEncoder},
2100 {"ECOCAEDDecoder", SHOGUN_BASIC_CLASS __new_CECOCAEDDecoder},
2101 {"ECOCDiscriminantEncoder", SHOGUN_BASIC_CLASS __new_CECOCDiscriminantEncoder},
2102 {"ECOCLLBDecoder", SHOGUN_BASIC_CLASS __new_CECOCLLBDecoder},
2103 {"ECOCRandomSparseEncoder", SHOGUN_BASIC_CLASS __new_CECOCRandomSparseEncoder},
2104 {"ECOCStrategy", SHOGUN_BASIC_CLASS __new_CECOCStrategy},
2105 {"ECOCForestEncoder", SHOGUN_BASIC_CLASS __new_CECOCForestEncoder},
2106 {"ECOCIHDDecoder", SHOGUN_BASIC_CLASS __new_CECOCIHDDecoder},
2107 {"MulticlassOCAS", SHOGUN_BASIC_CLASS __new_CMulticlassOCAS},
2108 {"GMNPSVM", SHOGUN_BASIC_CLASS __new_CGMNPSVM},
2109 {"MCLDA", SHOGUN_BASIC_CLASS __new_CMCLDA},
2110 {"ThresholdRejectionStrategy", SHOGUN_BASIC_CLASS __new_CThresholdRejectionStrategy},
2111 {"DixonQTestRejectionStrategy", SHOGUN_BASIC_CLASS __new_CDixonQTestRejectionStrategy},
2112 {"MulticlassLogisticRegression", SHOGUN_BASIC_CLASS __new_CMulticlassLogisticRegression},
2113 {"MulticlassOneVsRestStrategy", SHOGUN_BASIC_CLASS __new_CMulticlassOneVsRestStrategy},
2114 {"RandomConditionalProbabilityTree", SHOGUN_BASIC_CLASS __new_CRandomConditionalProbabilityTree},
2115 {"ID3ClassifierTree", SHOGUN_BASIC_CLASS __new_CID3ClassifierTree},
2116 {"CARTree", SHOGUN_BASIC_CLASS __new_CCARTree},
2117 {"RelaxedTree", SHOGUN_BASIC_CLASS __new_CRelaxedTree},
2118 {"BallTree", SHOGUN_BASIC_CLASS __new_CBallTree},
2119 {"BalancedConditionalProbabilityTree", SHOGUN_BASIC_CLASS __new_CBalancedConditionalProbabilityTree},
2120 {"KDTree", SHOGUN_BASIC_CLASS __new_CKDTree},
2121 {"C45ClassifierTree", SHOGUN_BASIC_CLASS __new_CC45ClassifierTree},
2122 {"RandomCARTree", SHOGUN_BASIC_CLASS __new_CRandomCARTree},
2123 {"CHAIDTree", SHOGUN_BASIC_CLASS __new_CCHAIDTree},
2124 {"MulticlassLibLinear", SHOGUN_BASIC_CLASS __new_CMulticlassLibLinear},
2125 {"MulticlassTreeGuidedLogisticRegression", SHOGUN_BASIC_CLASS __new_CMulticlassTreeGuidedLogisticRegression},
2127 {"GMNPLib", SHOGUN_BASIC_CLASS __new_CGMNPLib},
2128 {"Gaussian", SHOGUN_BASIC_CLASS __new_CGaussian},
2129 {"EMMixtureModel", SHOGUN_BASIC_CLASS __new_CEMMixtureModel},
2130 {"Histogram", SHOGUN_BASIC_CLASS __new_CHistogram},
2131 {"KernelDensity", SHOGUN_BASIC_CLASS __new_CKernelDensity},
2133 {"MixtureModel", SHOGUN_BASIC_CLASS __new_CMixtureModel},
2134 {"PositionalPWM", SHOGUN_BASIC_CLASS __new_CPositionalPWM},
2135 {"GaussianDistribution", SHOGUN_BASIC_CLASS __new_CGaussianDistribution},
2136 {"LinearHMM", SHOGUN_BASIC_CLASS __new_CLinearHMM},
2137 {"LBFGSMinimizer", SHOGUN_BASIC_CLASS __new_CLBFGSMinimizer},
2139 {"NLOPTMinimizer", SHOGUN_BASIC_CLASS __new_CNLOPTMinimizer},
2140 {"MultilabelModel", SHOGUN_BASIC_CLASS __new_CMultilabelModel},
2141 {"SegmentLoss", SHOGUN_BASIC_CLASS __new_CSegmentLoss},
2142 {"CCSOSVM", SHOGUN_BASIC_CLASS __new_CCCSOSVM},
2143 {"DisjointSet", SHOGUN_BASIC_CLASS __new_CDisjointSet},
2144 {"PlifArray", SHOGUN_BASIC_CLASS __new_CPlifArray},
2145 {"HierarchicalMultilabelModel", SHOGUN_BASIC_CLASS __new_CHierarchicalMultilabelModel},
2146 {"FactorGraphModel", SHOGUN_BASIC_CLASS __new_CFactorGraphModel},
2147 {"SparseMultilabel", SHOGUN_BASIC_CLASS __new_CSparseMultilabel},
2148 {"MultilabelSOLabels", SHOGUN_BASIC_CLASS __new_CMultilabelSOLabels},
2149 {"TwoStateModel", SHOGUN_BASIC_CLASS __new_CTwoStateModel},
2150 {"IntronList", SHOGUN_BASIC_CLASS __new_CIntronList},
2151 {"StochasticSOSVM", SHOGUN_BASIC_CLASS __new_CStochasticSOSVM},
2152 {"PlifMatrix", SHOGUN_BASIC_CLASS __new_CPlifMatrix},
2153 {"MulticlassModel", SHOGUN_BASIC_CLASS __new_CMulticlassModel},
2154 {"Sequence", SHOGUN_BASIC_CLASS __new_CSequence},
2155 {"SequenceLabels", SHOGUN_BASIC_CLASS __new_CSequenceLabels},
2156 {"GEMPLP", SHOGUN_BASIC_CLASS __new_CGEMPLP},
2157 {"MulticlassSOLabels", SHOGUN_BASIC_CLASS __new_CMulticlassSOLabels},
2158 {"SOSVMHelper", SHOGUN_BASIC_CLASS __new_CSOSVMHelper},
2159 {"DynProg", SHOGUN_BASIC_CLASS __new_CDynProg},
2160 {"MAPInference", SHOGUN_BASIC_CLASS __new_CMAPInference},
2161 {"DualLibQPBMSOSVM", SHOGUN_BASIC_CLASS __new_CDualLibQPBMSOSVM},
2162 {"HashedMultilabelModel", SHOGUN_BASIC_CLASS __new_CHashedMultilabelModel},
2163 {"HMSVMModel", SHOGUN_BASIC_CLASS __new_CHMSVMModel},
2164 {"FWSOSVM", SHOGUN_BASIC_CLASS __new_CFWSOSVM},
2165 {"FactorDataSource", SHOGUN_BASIC_CLASS __new_CFactorDataSource},
2166 {"Factor", SHOGUN_BASIC_CLASS __new_CFactor},
2167 {"MultilabelCLRModel", SHOGUN_BASIC_CLASS __new_CMultilabelCLRModel},
2168 {"FactorType", SHOGUN_BASIC_CLASS __new_CFactorType},
2169 {"TableFactorType", SHOGUN_BASIC_CLASS __new_CTableFactorType},
2170 {"FactorGraph", SHOGUN_BASIC_CLASS __new_CFactorGraph},
2172 {"GraphCut", SHOGUN_BASIC_CLASS __new_CGraphCut},
2173 {"FactorGraphDataGenerator", SHOGUN_BASIC_CLASS __new_CFactorGraphDataGenerator},
2174 {"KernelMachine", SHOGUN_BASIC_CLASS __new_CKernelMachine},
2175 {"OnlineLinearMachine", SHOGUN_BASIC_CLASS __new_COnlineLinearMachine},
2176 {"Machine", SHOGUN_BASIC_CLASS __new_CMachine},
2177 {"LinearMachine", SHOGUN_BASIC_CLASS __new_CLinearMachine},
2178 {"RandomForest", SHOGUN_BASIC_CLASS __new_CRandomForest},
2179 {"LinearMulticlassMachine", SHOGUN_BASIC_CLASS __new_CLinearMulticlassMachine},
2180 {"BaseMulticlassMachine", SHOGUN_BASIC_CLASS __new_CBaseMulticlassMachine},
2181 {"StochasticGBMachine", SHOGUN_BASIC_CLASS __new_CStochasticGBMachine},
2182 {"DistanceMachine", SHOGUN_BASIC_CLASS __new_CDistanceMachine},
2183 {"LinearStructuredOutputMachine", SHOGUN_BASIC_CLASS __new_CLinearStructuredOutputMachine},
2184 {"BaggingMachine", SHOGUN_BASIC_CLASS __new_CBaggingMachine},
2185 {"NativeMulticlassMachine", SHOGUN_BASIC_CLASS __new_CNativeMulticlassMachine},
2186 {"KernelMulticlassMachine", SHOGUN_BASIC_CLASS __new_CKernelMulticlassMachine},
2187 {"StructuredOutputMachine", SHOGUN_BASIC_CLASS __new_CStructuredOutputMachine},
2188 {"GaussianProcessMachine", SHOGUN_BASIC_CLASS __new_CGaussianProcessMachine},
2189 {"KernelStructuredOutputMachine", SHOGUN_BASIC_CLASS __new_CKernelStructuredOutputMachine},
2190 {"ExactInferenceMethod", SHOGUN_BASIC_CLASS __new_CExactInferenceMethod},
2191 {"SingleLaplaceInferenceMethod", SHOGUN_BASIC_CLASS __new_CSingleLaplaceInferenceMethod},
2192 {"SingleLaplaceNewtonOptimizer", SHOGUN_BASIC_CLASS __new_CSingleLaplaceNewtonOptimizer},
2193 {"ConstMean", SHOGUN_BASIC_CLASS __new_CConstMean},
2194 {"ProbitLikelihood", SHOGUN_BASIC_CLASS __new_CProbitLikelihood},
2195 {"KLCovarianceInferenceMethod", SHOGUN_BASIC_CLASS __new_CKLCovarianceInferenceMethod},
2196 {"GaussianARDSparseKernel", SHOGUN_BASIC_CLASS __new_CGaussianARDSparseKernel},
2197 {"GaussianLikelihood", SHOGUN_BASIC_CLASS __new_CGaussianLikelihood},
2198 {"MultiLaplaceInferenceMethod", SHOGUN_BASIC_CLASS __new_CMultiLaplaceInferenceMethod},
2199 {"SingleFITCLaplaceInferenceMethod", SHOGUN_BASIC_CLASS __new_CSingleFITCLaplaceInferenceMethod},
2200 {"SingleFITCLaplaceNewtonOptimizer", SHOGUN_BASIC_CLASS __new_CSingleFITCLaplaceNewtonOptimizer},
2201 {"VarDTCInferenceMethod", SHOGUN_BASIC_CLASS __new_CVarDTCInferenceMethod},
2202 {"StudentsTLikelihood", SHOGUN_BASIC_CLASS __new_CStudentsTLikelihood},
2203 {"EPInferenceMethod", SHOGUN_BASIC_CLASS __new_CEPInferenceMethod},
2204 {"LogitLikelihood", SHOGUN_BASIC_CLASS __new_CLogitLikelihood},
2205 {"LogitVGPiecewiseBoundLikelihood", SHOGUN_BASIC_CLASS __new_CLogitVGPiecewiseBoundLikelihood},
2206 {"KLDualInferenceMethodMinimizer", SHOGUN_BASIC_CLASS __new_CKLDualInferenceMethodMinimizer},
2207 {"KLDualInferenceMethod", SHOGUN_BASIC_CLASS __new_CKLDualInferenceMethod},
2208 {"KLCholeskyInferenceMethod", SHOGUN_BASIC_CLASS __new_CKLCholeskyInferenceMethod},
2209 {"ProbitVGLikelihood", SHOGUN_BASIC_CLASS __new_CProbitVGLikelihood},
2210 {"FITCInferenceMethod", SHOGUN_BASIC_CLASS __new_CFITCInferenceMethod},
2211 {"LogitVGLikelihood", SHOGUN_BASIC_CLASS __new_CLogitVGLikelihood},
2212 {"ZeroMean", SHOGUN_BASIC_CLASS __new_CZeroMean},
2213 {"LogitDVGLikelihood", SHOGUN_BASIC_CLASS __new_CLogitDVGLikelihood},
2214 {"KLDiagonalInferenceMethod", SHOGUN_BASIC_CLASS __new_CKLDiagonalInferenceMethod},
2215 {"SoftMaxLikelihood", SHOGUN_BASIC_CLASS __new_CSoftMaxLikelihood},
2216 {"StudentsTVGLikelihood", SHOGUN_BASIC_CLASS __new_CStudentsTVGLikelihood},
2217 {"GUIFeatures", SHOGUN_BASIC_CLASS __new_CGUIFeatures},
2218 {"GUITime", SHOGUN_BASIC_CLASS __new_CGUITime},
2219 {"GUIHMM", SHOGUN_BASIC_CLASS __new_CGUIHMM},
2220 {"GUIDistance", SHOGUN_BASIC_CLASS __new_CGUIDistance},
2221 {"GUIClassifier", SHOGUN_BASIC_CLASS __new_CGUIClassifier},
2222 {"GUIPluginEstimate", SHOGUN_BASIC_CLASS __new_CGUIPluginEstimate},
2223 {"GUILabels", SHOGUN_BASIC_CLASS __new_CGUILabels},
2224 {"GUIStructure", SHOGUN_BASIC_CLASS __new_CGUIStructure},
2225 {"GUIMath", SHOGUN_BASIC_CLASS __new_CGUIMath},
2226 {"GUIKernel", SHOGUN_BASIC_CLASS __new_CGUIKernel},
2227 {"GUIPreprocessor", SHOGUN_BASIC_CLASS __new_CGUIPreprocessor},
2228 {"GUIConverter", SHOGUN_BASIC_CLASS __new_CGUIConverter},
2229 {"LeastSquaresRegression", SHOGUN_BASIC_CLASS __new_CLeastSquaresRegression},
2230 {"LinearRidgeRegression", SHOGUN_BASIC_CLASS __new_CLinearRidgeRegression},
2231 {"LeastAngleRegression", SHOGUN_BASIC_CLASS __new_CLeastAngleRegression},
2232 {"KernelRidgeRegression", SHOGUN_BASIC_CLASS __new_CKernelRidgeRegression},
2233 {"KRRNystrom", SHOGUN_BASIC_CLASS __new_CKRRNystrom},
2234 {"GaussianProcessRegression", SHOGUN_BASIC_CLASS __new_CGaussianProcessRegression},
2235 {"SVRLight", SHOGUN_BASIC_CLASS __new_CSVRLight},
2236 {"LibLinearRegression", SHOGUN_BASIC_CLASS __new_CLibLinearRegression},
2237 {"LibSVR", SHOGUN_BASIC_CLASS __new_CLibSVR},
2238 {"MKLRegression", SHOGUN_BASIC_CLASS __new_CMKLRegression},
2239 {"WeightedMajorityVote", SHOGUN_BASIC_CLASS __new_CWeightedMajorityVote},
2240 {"MeanRule", SHOGUN_BASIC_CLASS __new_CMeanRule},
2241 {"MajorityVote", SHOGUN_BASIC_CLASS __new_CMajorityVote},
2243 {"MMDKernelSelectionMedian", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionMedian},
2244 {"LinearTimeMMD", SHOGUN_BASIC_CLASS __new_CLinearTimeMMD},
2245 {"KernelMeanMatching", SHOGUN_BASIC_CLASS __new_CKernelMeanMatching},
2246 {"MMDKernelSelectionOpt", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionOpt},
2247 {"MMDKernelSelectionMax", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionMax},
2248 {"NOCCO", SHOGUN_BASIC_CLASS __new_CNOCCO},
2249 {"MMDKernelSelectionCombMaxL2", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionCombMaxL2},
2250 {"MMDKernelSelectionCombOpt", SHOGUN_BASIC_CLASS __new_CMMDKernelSelectionCombOpt},
2251 {"QuadraticTimeMMD", SHOGUN_BASIC_CLASS __new_CQuadraticTimeMMD},
2252 {"Compressor", SHOGUN_BASIC_CLASS __new_CCompressor},
2254 {"SerialComputationEngine", SHOGUN_BASIC_CLASS __new_CSerialComputationEngine},
2255 {"JobResult", SHOGUN_BASIC_CLASS __new_CJobResult},
2257 {"IndexBlockGroup", SHOGUN_BASIC_CLASS __new_CIndexBlockGroup},
2258 {"StructuredData", SHOGUN_BASIC_CLASS __new_CStructuredData},
2259 {"IndexBlockTree", SHOGUN_BASIC_CLASS __new_CIndexBlockTree},
2261 {"DynamicObjectArray", SHOGUN_BASIC_CLASS __new_CDynamicObjectArray},
2262 {"BitString", SHOGUN_BASIC_CLASS __new_CBitString},
2263 {"DelimiterTokenizer", SHOGUN_BASIC_CLASS __new_CDelimiterTokenizer},
2264 {"IndexBlock", SHOGUN_BASIC_CLASS __new_CIndexBlock},
2265 {"ListElement", SHOGUN_BASIC_CLASS __new_CListElement},
2267 {"Signal", SHOGUN_BASIC_CLASS __new_CSignal},
2268 {"CircularBuffer", SHOGUN_BASIC_CLASS __new_CCircularBuffer},
2269 {"NGramTokenizer", SHOGUN_BASIC_CLASS __new_CNGramTokenizer},
2270 {"WrappedObjectArray", SHOGUN_BASIC_CLASS __new_CWrappedObjectArray},
2271 {"LatentSVM", SHOGUN_BASIC_CLASS __new_CLatentSVM},
2272 {"LatentSOSVM", SHOGUN_BASIC_CLASS __new_CLatentSOSVM},
2274 {"LMNNStatistics", SHOGUN_BASIC_CLASS __new_CLMNNStatistics},
2275 {"SparseInverseCovariance", SHOGUN_BASIC_CLASS __new_CSparseInverseCovariance},
2276 {"DirectEigenSolver", SHOGUN_BASIC_CLASS __new_CDirectEigenSolver},
2277 {"LanczosEigenSolver", SHOGUN_BASIC_CLASS __new_CLanczosEigenSolver},
2278 {"DirectSparseLinearSolver", SHOGUN_BASIC_CLASS __new_CDirectSparseLinearSolver},
2279 {"ConjugateGradientSolver", SHOGUN_BASIC_CLASS __new_CConjugateGradientSolver},
2280 {"DirectLinearSolverComplex", SHOGUN_BASIC_CLASS __new_CDirectLinearSolverComplex},
2281 {"ProbingSampler", SHOGUN_BASIC_CLASS __new_CProbingSampler},
2282 {"NormalSampler", SHOGUN_BASIC_CLASS __new_CNormalSampler},
2283 {"RationalApproximationIndividualJob", SHOGUN_BASIC_CLASS __new_CRationalApproximationIndividualJob},
2284 {"RationalApproximationCGMJob", SHOGUN_BASIC_CLASS __new_CRationalApproximationCGMJob},
2285 {"DenseExactLogJob", SHOGUN_BASIC_CLASS __new_CDenseExactLogJob},
2286 {"IndividualJobResultAggregator", SHOGUN_BASIC_CLASS __new_CIndividualJobResultAggregator},
2287 {"LogDetEstimator", SHOGUN_BASIC_CLASS __new_CLogDetEstimator},
2288 {"LogRationalApproximationIndividual", SHOGUN_BASIC_CLASS __new_CLogRationalApproximationIndividual},
2289 {"DenseMatrixExactLog", SHOGUN_BASIC_CLASS __new_CDenseMatrixExactLog},
2290 {"LogRationalApproximationCGM", SHOGUN_BASIC_CLASS __new_CLogRationalApproximationCGM},
2291 {"Statistics", SHOGUN_BASIC_CLASS __new_CStatistics},
2292 {"Random", SHOGUN_BASIC_CLASS __new_CRandom},
2293 {"JacobiEllipticFunctions", SHOGUN_BASIC_CLASS __new_CJacobiEllipticFunctions},
2294 {"Integration", SHOGUN_BASIC_CLASS __new_CIntegration},
2296 {"QDiag", SHOGUN_BASIC_CLASS __new_CQDiag},
2297 {"UWedge", SHOGUN_BASIC_CLASS __new_CUWedge},
2298 {"JADiag", SHOGUN_BASIC_CLASS __new_CJADiag},
2299 {"FFDiag", SHOGUN_BASIC_CLASS __new_CFFDiag},
2300 {"JediDiag", SHOGUN_BASIC_CLASS __new_CJediDiag},
2301 {"JADiagOrth", SHOGUN_BASIC_CLASS __new_CJADiagOrth},
2302 {"GridSearchModelSelection", SHOGUN_BASIC_CLASS __new_CGridSearchModelSelection},
2303 {"GradientModelSelection", SHOGUN_BASIC_CLASS __new_CGradientModelSelection},
2304 {"ParameterCombination", SHOGUN_BASIC_CLASS __new_CParameterCombination},
2305 {"ModelSelectionParameters", SHOGUN_BASIC_CLASS __new_CModelSelectionParameters},
2306 {"RandomSearchModelSelection", SHOGUN_BASIC_CLASS __new_CRandomSearchModelSelection},
2307 {"HessianLocallyLinearEmbedding", SHOGUN_BASIC_CLASS __new_CHessianLocallyLinearEmbedding},
2308 {"LocallyLinearEmbedding", SHOGUN_BASIC_CLASS __new_CLocallyLinearEmbedding},
2309 {"LaplacianEigenmaps", SHOGUN_BASIC_CLASS __new_CLaplacianEigenmaps},
2310 {"TDistributedStochasticNeighborEmbedding", SHOGUN_BASIC_CLASS __new_CTDistributedStochasticNeighborEmbedding},
2311 {"LocalTangentSpaceAlignment", SHOGUN_BASIC_CLASS __new_CLocalTangentSpaceAlignment},
2312 {"MultidimensionalScaling", SHOGUN_BASIC_CLASS __new_CMultidimensionalScaling},
2313 {"KernelLocallyLinearEmbedding", SHOGUN_BASIC_CLASS __new_CKernelLocallyLinearEmbedding},
2314 {"LocalityPreservingProjections", SHOGUN_BASIC_CLASS __new_CLocalityPreservingProjections},
2316 {"FFSep", SHOGUN_BASIC_CLASS __new_CFFSep},
2317 {"FastICA", SHOGUN_BASIC_CLASS __new_CFastICA},
2318 {"JediSep", SHOGUN_BASIC_CLASS __new_CJediSep},
2319 {"UWedgeSep", SHOGUN_BASIC_CLASS __new_CUWedgeSep},
2321 {"Isomap", SHOGUN_BASIC_CLASS __new_CIsomap},
2322 {"DiffusionMaps", SHOGUN_BASIC_CLASS __new_CDiffusionMaps},
2323 {"LinearLocalTangentSpaceAlignment", SHOGUN_BASIC_CLASS __new_CLinearLocalTangentSpaceAlignment},
2324 {"ManifoldSculpting", SHOGUN_BASIC_CLASS __new_CManifoldSculpting},
2325 {"FactorAnalysis", SHOGUN_BASIC_CLASS __new_CFactorAnalysis},
2326 {"NeighborhoodPreservingEmbedding", SHOGUN_BASIC_CLASS __new_CNeighborhoodPreservingEmbedding},
2327 {"StochasticProximityEmbedding", SHOGUN_BASIC_CLASS __new_CStochasticProximityEmbedding},
2328 {"HashedDocConverter", SHOGUN_BASIC_CLASS __new_CHashedDocConverter},
2329 {"AveragedPerceptron", SHOGUN_BASIC_CLASS __new_CAveragedPerceptron},
2330 {"Perceptron", SHOGUN_BASIC_CLASS __new_CPerceptron},
2331 {"FeatureBlockLogisticRegression", SHOGUN_BASIC_CLASS __new_CFeatureBlockLogisticRegression},
2332 {"PluginEstimate", SHOGUN_BASIC_CLASS __new_CPluginEstimate},
2333 {"MKLMulticlass", SHOGUN_BASIC_CLASS __new_CMKLMulticlass},
2334 {"MKLOneClass", SHOGUN_BASIC_CLASS __new_CMKLOneClass},
2335 {"MKLClassification", SHOGUN_BASIC_CLASS __new_CMKLClassification},
2336 {"VowpalWabbit", SHOGUN_BASIC_CLASS __new_CVowpalWabbit},
2337 {"VwAdaptiveLearner", SHOGUN_BASIC_CLASS __new_CVwAdaptiveLearner},
2338 {"VwNonAdaptiveLearner", SHOGUN_BASIC_CLASS __new_CVwNonAdaptiveLearner},
2339 {"VwRegressor", SHOGUN_BASIC_CLASS __new_CVwRegressor},
2340 {"VwNativeCacheReader", SHOGUN_BASIC_CLASS __new_CVwNativeCacheReader},
2341 {"VwNativeCacheWriter", SHOGUN_BASIC_CLASS __new_CVwNativeCacheWriter},
2342 {"VwEnvironment", SHOGUN_BASIC_CLASS __new_CVwEnvironment},
2343 {"VwParser", SHOGUN_BASIC_CLASS __new_CVwParser},
2344 {"NearestCentroid", SHOGUN_BASIC_CLASS __new_CNearestCentroid},
2345 {"GPBTSVM", SHOGUN_BASIC_CLASS __new_CGPBTSVM},
2346 {"SGDQN", SHOGUN_BASIC_CLASS __new_CSGDQN},
2347 {"GNPPSVM", SHOGUN_BASIC_CLASS __new_CGNPPSVM},
2349 {"LibLinear", SHOGUN_BASIC_CLASS __new_CLibLinear},
2350 {"GNPPLib", SHOGUN_BASIC_CLASS __new_CGNPPLib},
2351 {"LibSVM", SHOGUN_BASIC_CLASS __new_CLibSVM},
2352 {"MPDSVM", SHOGUN_BASIC_CLASS __new_CMPDSVM},
2353 {"WDSVMOcas", SHOGUN_BASIC_CLASS __new_CWDSVMOcas},
2354 {"OnlineLibLinear", SHOGUN_BASIC_CLASS __new_COnlineLibLinear},
2355 {"SVMLight", SHOGUN_BASIC_CLASS __new_CSVMLight},
2356 {"QPBSVMLib", SHOGUN_BASIC_CLASS __new_CQPBSVMLib},
2357 {"NewtonSVM", SHOGUN_BASIC_CLASS __new_CNewtonSVM},
2358 {"SVMLin", SHOGUN_BASIC_CLASS __new_CSVMLin},
2359 {"SVMSGD", SHOGUN_BASIC_CLASS __new_CSVMSGD},
2360 {"LibSVMOneClass", SHOGUN_BASIC_CLASS __new_CLibSVMOneClass},
2361 {"SVMLightOneClass", SHOGUN_BASIC_CLASS __new_CSVMLightOneClass},
2362 {"OnlineSVMSGD", SHOGUN_BASIC_CLASS __new_COnlineSVMSGD},
2363 {"SVMOcas", SHOGUN_BASIC_CLASS __new_CSVMOcas},
2364 {"GaussianProcessClassification", SHOGUN_BASIC_CLASS __new_CGaussianProcessClassification},
2366 {"LogLoss", SHOGUN_BASIC_CLASS __new_CLogLoss},
2367 {"HingeLoss", SHOGUN_BASIC_CLASS __new_CHingeLoss},
2368 {"HuberLoss", SHOGUN_BASIC_CLASS __new_CHuberLoss},
2369 {"SquaredHingeLoss", SHOGUN_BASIC_CLASS __new_CSquaredHingeLoss},
2370 {"SquaredLoss", SHOGUN_BASIC_CLASS __new_CSquaredLoss},
2371 {"LogLossMargin", SHOGUN_BASIC_CLASS __new_CLogLossMargin},
2372 {"ExponentialLoss", SHOGUN_BASIC_CLASS __new_CExponentialLoss},
2373 {"AbsoluteDeviationLoss", SHOGUN_BASIC_CLASS __new_CAbsoluteDeviationLoss},
2374 {"SmoothHingeLoss", SHOGUN_BASIC_CLASS __new_CSmoothHingeLoss},
2375 {"DecompressString", SHOGUN_TEMPLATE_CLASS __new_CDecompressString},
2376 {"StringFeatures", SHOGUN_TEMPLATE_CLASS __new_CStringFeatures},
2377 {"DenseSubSamplesFeatures", SHOGUN_TEMPLATE_CLASS __new_CDenseSubSamplesFeatures},
2378 {"DenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CDenseFeatures},
2379 {"StreamingHashedDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingHashedDenseFeatures},
2380 {"StreamingDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingDenseFeatures},
2381 {"StreamingStringFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingStringFeatures},
2382 {"StreamingHashedSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingHashedSparseFeatures},
2383 {"StreamingSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingSparseFeatures},
2384 {"MatrixFeatures", SHOGUN_TEMPLATE_CLASS __new_CMatrixFeatures},
2385 {"SparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CSparseFeatures},
2386 {"HashedDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CHashedDenseFeatures},
2387 {"HashedSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CHashedSparseFeatures},
2388 {"StringFileFeatures", SHOGUN_TEMPLATE_CLASS __new_CStringFileFeatures},
2389 {"DenseSubsetFeatures", SHOGUN_TEMPLATE_CLASS __new_CDenseSubsetFeatures},
2390 {"BinaryStream", SHOGUN_TEMPLATE_CLASS __new_CBinaryStream},
2392 {"StreamingFileFromSparseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingFileFromSparseFeatures},
2393 {"ParseBuffer", SHOGUN_TEMPLATE_CLASS __new_CParseBuffer},
2394 {"StreamingFileFromDenseFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingFileFromDenseFeatures},
2395 {"StreamingFileFromStringFeatures", SHOGUN_TEMPLATE_CLASS __new_CStreamingFileFromStringFeatures},
2396 {"MemoryMappedFile", SHOGUN_TEMPLATE_CLASS __new_CMemoryMappedFile},
2397 {"TreeMachine", SHOGUN_TEMPLATE_CLASS __new_CTreeMachine},
2398 {"WrappedBasic", SHOGUN_TEMPLATE_CLASS __new_CWrappedBasic},
2399 {"WrappedSGMatrix", SHOGUN_TEMPLATE_CLASS __new_CWrappedSGMatrix},
2402 {"DynamicArray", SHOGUN_TEMPLATE_CLASS __new_CDynamicArray},
2403 {"WrappedSGVector", SHOGUN_TEMPLATE_CLASS __new_CWrappedSGVector},
2404 {"StoreScalarAggregator", SHOGUN_TEMPLATE_CLASS __new_CStoreScalarAggregator},
2405 {"ScalarResult", SHOGUN_TEMPLATE_CLASS __new_CScalarResult},
2406 {"VectorResult", SHOGUN_TEMPLATE_CLASS __new_CVectorResult},
2407 {"SparseMatrixOperator", SHOGUN_TEMPLATE_CLASS __new_CSparseMatrixOperator},
2408 {"DenseMatrixOperator", SHOGUN_TEMPLATE_CLASS __new_CDenseMatrixOperator}, {NULL, NULL}
2409 };
2410 
2411 CSGObject* shogun::new_sgserializable(const char* sgserializable_name,
2412  EPrimitiveType generic)
2413 {
2414  for (class_list_entry_t* i=class_list; i->m_class_name != NULL;
2415  i++)
2416  {
2417  if (strncmp(i->m_class_name, sgserializable_name, STRING_LEN) == 0)
2418  return i->m_new_sgserializable(generic);
2419  }
2420 
2421  return NULL;
2422 }
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwParser(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingAsciiFile(EPrimitiveType g)
Definition: class_list.cpp:675
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CTreeMachine(EPrimitiveType g)
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CWrappedSGVector(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CCompressor(EPrimitiveType g)
Definition: class_list.cpp:942
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionMedian(EPrimitiveType g)
Definition: class_list.cpp:933
An I/O buffer class.
Definition: IOBuffer.h:41
static SHOGUN_BASIC_CLASS CSGObject * __new_CQDA(EPrimitiveType g)
Definition: class_list.cpp:777
Class Time that implements a stopwatch based on either cpu time or wall clock time.
Definition: Time.h:47
static SHOGUN_BASIC_CLASS CSGObject * __new_CBaseMulticlassMachine(EPrimitiveType g)
Definition: class_list.cpp:870
Base class that stores the result of an independent job when the result is a scalar.
Definition: ScalarResult.h:24
static SHOGUN_BASIC_CLASS CSGObject * __new_CWDSVMOcas(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CHashedWDFeatures(EPrimitiveType g)
Definition: class_list.cpp:657
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingHashedDocDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:644
class Task used to represent tasks in multitask learning. Essentially it represent a set of feature v...
Definition: Task.h:27
class CosineDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CKLCholeskyInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:898
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelPlifNormalizer(EPrimitiveType g)
Definition: class_list.cpp:597
static SHOGUN_BASIC_CLASS CSGObject * __new_COnlineSVMSGD(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CCosineDistance(EPrimitiveType g)
Definition: class_list.cpp:635
class SVMLin
Definition: SVMLin.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CBallTree(EPrimitiveType g)
Definition: class_list.cpp:808
UI labels.
Definition: GUILabels.h:24
Wrapper class for an index subset which is used by SubsetStack.
Definition: Subset.h:24
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanAbsoluteError(EPrimitiveType g)
Definition: class_list.cpp:582
class HammingWordDistance
the class DimensionReductionPreprocessor, a base class for preprocessors used to lower the dimensiona...
class LinearLocalTangentSpaceAlignment converter used to construct embeddings as described in: ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CJediDiag(EPrimitiveType g)
Definition: class_list.cpp:990
Class CFactorType defines the way of factor parameterization.
Definition: FactorType.h:24
Class that models Soft-Max likelihood.
static SHOGUN_BASIC_CLASS CSGObject * __new_CFile(EPrimitiveType g)
Definition: class_list.cpp:679
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationPrintOutput(EPrimitiveType g)
Definition: class_list.cpp:591
Spherical kernel.
A Restricted Boltzmann Machine.
Definition: RBM.h:122
static SHOGUN_BASIC_CLASS CSGObject * __new_CKLDualInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:897
Positional PWM.
Definition: PositionalPWM.h:27
static SHOGUN_BASIC_CLASS CSGObject * __new_CKLDiagonalInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:904
static SHOGUN_BASIC_CLASS CSGObject * __new_CDirectLinearSolverComplex(EPrimitiveType g)
Definition: class_list.cpp:970
The MultitaskKernel allows Multitask Learning via a modified kernel function.
Class KernelRidgeRegression implements Kernel Ridge Regression - a regularized least square method fo...
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndexBlockGroup(EPrimitiveType g)
Definition: class_list.cpp:947
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalityPreservingProjections(EPrimitiveType g)
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CMatrixFeatures(EPrimitiveType g)
Computes the standard linear kernel on CDotFeatures.
Definition: LinearKernel.h:35
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CScalarResult(EPrimitiveType g)
base class for cross-validation evaluation. Given a learning machine, a splitting strategy...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSerializableAsciiFile(EPrimitiveType g)
Definition: class_list.cpp:677
static SHOGUN_BASIC_CLASS CSGObject * __new_CJediSep(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:604
Class OnlineLinearMachine is a generic interface for linear machines like classifiers which work thro...
Class that models Logit likelihood.
Class QDA implements Quadratic Discriminant Analysis.
Definition: QDA.h:35
Base class of the labels used in Structured Output (SO) problems.
The standard Sigmoid kernel computed on dense real valued features.
Definition: SigmoidKernel.h:31
Specialization of CDynamicObjectArray that adds methods to append wrapped elements to make them seria...
The class CNGramTokenizer is used to tokenize a SGVector into n-grams.
Latent Features class The class if for representing features for latent learning, e...
The class MulticlassOVREvaluation used to compute evaluation parameters of multiclass classification ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CCombinedDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:641
CAbsoluteDeviationLoss implements the absolute deviation loss function. .
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogitVGLikelihood(EPrimitiveType g)
Definition: class_list.cpp:901
The class ContingencyTableEvaluation a base class used to evaluate 2-class classification with TP...
Class CVwNativeCacheReader reads from a cache exactly as that which has been produced by VW's default...
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalAlignmentStringKernel(EPrimitiveType g)
Definition: class_list.cpp:736
Computes the standard polynomial kernel on CDotFeatures.
Definition: PolyKernel.h:38
static SHOGUN_BASIC_CLASS CSGObject * __new_CLOOCrossValidationSplitting(EPrimitiveType g)
Definition: class_list.cpp:581
This class implements streaming features for a document collection. Like in the standard Bag-of-Words...
The Gaussian exact form inference method class.
static SHOGUN_BASIC_CLASS CSGObject * __new_CUWedgeSep(EPrimitiveType g)
Class StreamingAsciiFile to read vector-by-vector from ASCII files.
Class that models Gaussian likelihood.
static SHOGUN_BASIC_CLASS CSGObject * __new_CTwoStateModel(EPrimitiveType g)
Definition: class_list.cpp:839
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionCombMaxL2(EPrimitiveType g)
Definition: class_list.cpp:939
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalityImprovedStringKernel(EPrimitiveType g)
Definition: class_list.cpp:746
Real Labels are real-valued labels.
static SHOGUN_BASIC_CLASS CSGObject * __new_CProbitVGLikelihood(EPrimitiveType g)
Definition: class_list.cpp:899
MKLMulticlass is a class for L1-norm Multiclass MKL.
Definition: MKLMulticlass.h:40
static SHOGUN_BASIC_CLASS CSGObject * __new_CStructuredAccuracy(EPrimitiveType g)
Definition: class_list.cpp:569
a string class embedding a string in a compact bit representation
Definition: BitString.h:30
static SHOGUN_BASIC_CLASS CSGObject * __new_CRealFileFeatures(EPrimitiveType g)
Definition: class_list.cpp:662
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelDensity(EPrimitiveType g)
Definition: class_list.cpp:821
class GMNPLib Library of solvers for Generalized Minimal Norm Problem (GMNP).
Definition: GMNPLib.h:64
UI kernel.
Definition: GUIKernel.h:24
class IndexBlockGroup used to represent group-based feature relation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPyramidChi2(EPrimitiveType g)
Definition: class_list.cpp:697
Class that generates jobs for computing logarithm of a dense matrix linear operator.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCombinedKernel(EPrimitiveType g)
Definition: class_list.cpp:762
Template class StringFeatures implements a list of strings.
The class DenseFeatures implements dense feature matrices.
Definition: LDA.h:40
static SHOGUN_BASIC_CLASS CSGObject * __new_CConstMean(EPrimitiveType g)
Definition: class_list.cpp:883
static SHOGUN_BASIC_CLASS CSGObject * __new_CCanberraMetric(EPrimitiveType g)
Definition: class_list.cpp:629
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDenseFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CPositionalPWM(EPrimitiveType g)
Definition: class_list.cpp:824
The Factor Analysis class is used to embed data using Factor Analysis algorithm.
The KL approximation inference method class.
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandom(EPrimitiveType g)
Definition: class_list.cpp:982
static SHOGUN_BASIC_CLASS CSGObject * __new_CLineReader(EPrimitiveType g)
Definition: class_list.cpp:668
static SHOGUN_BASIC_CLASS CSGObject * __new_CSortUlongString(EPrimitiveType g)
Definition: class_list.cpp:559
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCRandomDenseEncoder(EPrimitiveType g)
Definition: class_list.cpp:789
Neural layer with leaky rectified linear neurons.
static SHOGUN_BASIC_CLASS CSGObject * __new_CLeastAngleRegression(EPrimitiveType g)
Definition: class_list.cpp:921
The Diagonal Kernel returns a constant for the diagonal and zero otherwise.
Definition: DiagKernel.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:802
threshold based rejection strategy
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearStringKernel(EPrimitiveType g)
Definition: class_list.cpp:745
class to implement LibLinear
Definition: LibLinearMTL.h:91
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogDetEstimator(EPrimitiveType g)
Definition: class_list.cpp:977
class PrecisionMeasure used to measure precision of 2-class classifier.
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultiquadricKernel(EPrimitiveType g)
Definition: class_list.cpp:761
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeuralLayers(EPrimitiveType g)
Definition: class_list.cpp:685
static SHOGUN_BASIC_CLASS CSGObject * __new_CBinnedDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:652
Class GaussianProcessRegression implements regression based on Gaussian Processes.
Gaussian Kernel with Automatic Relevance Detection with supporting Sparse inference.
experimental abstract native multiclass machine class
class SparseEucldeanDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CFFDiag(EPrimitiveType g)
Definition: class_list.cpp:989
static SHOGUN_BASIC_CLASS CSGObject * __new_CTaskTree(EPrimitiveType g)
Definition: class_list.cpp:599
static SHOGUN_BASIC_CLASS CSGObject * __new_CStructuredData(EPrimitiveType g)
Definition: class_list.cpp:948
static SHOGUN_BASIC_CLASS CSGObject * __new_CJacobiEllipticFunctions(EPrimitiveType g)
Definition: class_list.cpp:983
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraphObservation(EPrimitiveType g)
Definition: class_list.cpp:770
CExponentialLoss implements the exponential loss function. .
Class CStreamingFileFromDenseFeatures is a derived class of CStreamingFile which creates an input sou...
Implementation of circular buffer This buffer has logical structure such as queue (FIFO)...
This class implements streaming features with dense feature vectors.
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeuralConvolutionalLayer(EPrimitiveType g)
Definition: class_list.cpp:683
static SHOGUN_BASIC_CLASS CSGObject * __new_CDixonQTestRejectionStrategy(EPrimitiveType g)
Definition: class_list.cpp:801
This class offers access to the Oligo Kernel introduced by Meinicke et al. in 2004.
static SHOGUN_BASIC_CLASS CSGObject * __new_CQDiag(EPrimitiveType g)
Definition: class_list.cpp:986
static SHOGUN_BASIC_CLASS CSGObject * __new_CWaveKernel(EPrimitiveType g)
Definition: class_list.cpp:717
multiclass one vs one strategy used to train generic multiclass machines for K-class problems with bu...
static SHOGUN_BASIC_CLASS CSGObject * __new_CCommWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:753
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraphDataGenerator(EPrimitiveType g)
Definition: class_list.cpp:863
static SHOGUN_BASIC_CLASS CSGObject * __new_CKNN(EPrimitiveType g)
Definition: class_list.cpp:816
static SHOGUN_BASIC_CLASS CSGObject * __new_CMahalanobisDistance(EPrimitiveType g)
Definition: class_list.cpp:623
The CommUlongString kernel may be used to compute the spectrum kernel from strings that have been map...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingStringFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CCARTree(EPrimitiveType g)
Definition: class_list.cpp:806
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingHashedDenseFeatures(EPrimitiveType g)
DiceKernelNormalizer performs kernel normalization inspired by the Dice coefficient (see http://en...
The MultitaskKernel allows Multitask Learning via a modified kernel function.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSimpleLocalityImprovedStringKernel(EPrimitiveType g)
Definition: class_list.cpp:748
#define SHOGUN_BASIC_CLASS
Definition: class_list.cpp:546
Class CMultilabelSOLabels used in the application of Structured Output (SO) learning to Multilabel Cl...
LibSVM.
Definition: LibSVM.h:30
static SHOGUN_BASIC_CLASS CSGObject * __new_CSingleFITCLaplaceInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:889
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskLinearMachine(EPrimitiveType g)
Definition: class_list.cpp:613
static SHOGUN_BASIC_CLASS CSGObject * __new_CParameterCombination(EPrimitiveType g)
Definition: class_list.cpp:994
static SHOGUN_BASIC_CLASS CSGObject * __new_CEMMixtureModel(EPrimitiveType g)
Definition: class_list.cpp:819
static SHOGUN_BASIC_CLASS CSGObject * __new_CBrayCurtisDistance(EPrimitiveType g)
Definition: class_list.cpp:622
Template class SimpleFile to read and write from files.
Definition: SimpleFile.h:30
A base class for Gaussian Processes.
class IndexBlockTree used to represent tree guided feature relation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CRegulatoryModulesStringKernel(EPrimitiveType g)
Definition: class_list.cpp:738
The Custom Kernel allows for custom user provided kernel matrices.
Definition: CustomKernel.h:36
static SHOGUN_BASIC_CLASS CSGObject * __new_CNGramTokenizer(EPrimitiveType g)
Definition: class_list.cpp:959
This class implements the NOrmalized Cross Covariance Operator (NOCCO) based independence test as des...
Definition: NOCCO.h:108
The Product kernel is used to combine a number of kernels into a single ProductKernel object by eleme...
Definition: ProductKernel.h:41
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassOVREvaluation(EPrimitiveType g)
Definition: class_list.cpp:586
class JediSep
Definition: JediSep.h:34
The class IndexFeatures implements features that contain the index of the features. This features used in the CCustomKernel::init to make the subset of the kernel matrix. Initial CIndexFeature of row_idx and col_idx, pass them to the CCustomKernel::init(row_idx, col_idx), then use CCustomKernel::get_kernel_matrix() will get the sub kernel matrix specified by the row_idx and col_idx.
Definition: IndexFeatures.h:53
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraphLabels(EPrimitiveType g)
Definition: class_list.cpp:771
static SHOGUN_BASIC_CLASS CSGObject * __new_CBinaryFile(EPrimitiveType g)
Definition: class_list.cpp:676
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultiLaplaceInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:888
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorType(EPrimitiveType g)
Definition: class_list.cpp:858
static SHOGUN_BASIC_CLASS CSGObject * __new_CPlifArray(EPrimitiveType g)
Definition: class_list.cpp:834
Class CVwEnvironment is the environment used by VW.
Definition: VwEnvironment.h:41
Class that computes multiple independent instances of computation jobs sequentially.
static SHOGUN_BASIC_CLASS CSGObject * __new_CGraphCut(EPrimitiveType g)
Definition: class_list.cpp:862
Class GaussianProcessClassification implements binary and multiclass classification based on Gaussian...
Represents a single layer neural autoencoder.
Definition: Autoencoder.h:86
class CTDistributedStochasticNeighborEmbedding used to embed data using t-distributed stochastic neig...
class to perform Least Squares Regression
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDynamicArray(EPrimitiveType g)
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CWrappedBasic(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CAlphabet(EPrimitiveType g)
Definition: class_list.cpp:642
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeighborhoodPreservingEmbedding(EPrimitiveType g)
The Laplace approximation inference method class for multi classification.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCustomKernel(EPrimitiveType g)
Definition: class_list.cpp:763
Class CFWSOSVM solves SOSVM using Frank-Wolfe algorithm [1].
Definition: FWSOSVM.h:26
simplified version of Dixon's Q test outlier based rejection strategy. Statistic values are taken fro...
Implementaion of rational approximation of a operator-function times vector where the operator functi...
static SHOGUN_BASIC_CLASS CSGObject * __new_CStructuredLabels(EPrimitiveType g)
Definition: class_list.cpp:776
Class MCLDA implements multiclass Linear Discriminant Analysis.
Definition: MCLDA.h:38
Class that represents the job of applying the log of a CDenseMatrixOperator on a real vector...
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassSVM(EPrimitiveType g)
Definition: class_list.cpp:781
class that uses conjugate gradient method of solving a linear system involving a real valued linear o...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CHashedDenseFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CBinaryLabels(EPrimitiveType g)
Definition: class_list.cpp:774
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianNaiveBayes(EPrimitiveType g)
Definition: class_list.cpp:783
static SHOGUN_BASIC_CLASS CSGObject * __new_CDirectSparseLinearSolver(EPrimitiveType g)
Definition: class_list.cpp:968
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLabels(EPrimitiveType g)
Definition: class_list.cpp:772
UI HMM (Hidden Markov Model)
Definition: GUIHMM.h:26
The Jensen-Shannon kernel operating on real-valued vectors computes the Jensen-Shannon distance betwe...
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomSearchModelSelection(EPrimitiveType g)
Definition: class_list.cpp:996
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeuralNetworkFileReader(EPrimitiveType g)
Definition: class_list.cpp:682
static SHOGUN_BASIC_CLASS CSGObject * __new_CKLDualInferenceMethodMinimizer(EPrimitiveType g)
Definition: class_list.cpp:896
class GNPPLib, a Library of solvers for Generalized Nearest Point Problem (GNPP). ...
Definition: GNPPLib.h:30
class CrossCorrelationMeasure used to measure cross correlation coefficient of 2-class classifier...
static SHOGUN_BASIC_CLASS CSGObject * __new_CExplicitSpecFeatures(EPrimitiveType g)
Definition: class_list.cpp:643
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIPreprocessor(EPrimitiveType g)
Definition: class_list.cpp:917
The class GaussianMatchStringKernel computes a variant of the Gaussian kernel on strings of same leng...
static SHOGUN_BASIC_CLASS CSGObject * __new_CCircularBuffer(EPrimitiveType g)
Definition: class_list.cpp:958
Implements optimal kernel selection for single kernels. Given a number of baseline kernels...
The inference method class based on the Titsias' variational bound. For more details, see Titsias, Michalis K. "Variational learning of inducing variables in sparse Gaussian processes." International Conference on Artificial Intelligence and Statistics. 2009.
Class FFDiag.
Definition: FFDiag.h:34
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStoreScalarAggregator(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearTimeMMD(EPrimitiveType g)
Definition: class_list.cpp:934
This class implements Ball tree. The ball tree is contructed using the top-down approach. cf. ftp://ftp.icsi.berkeley.edu/pub/techreports/1989/tr-89-063.pdf.
Definition: BallTree.h:45
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogitDVGLikelihood(EPrimitiveType g)
Definition: class_list.cpp:903
static SHOGUN_BASIC_CLASS CSGObject * __new_CZeroMeanCenterKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:707
The build-in minimizer for SingleFITCLaplaceInference.
class MinkowskiMetric
CVwParser is the object which provides the functions to parse examples from buffered input...
Definition: VwParser.h:48
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMLin(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIStructure(EPrimitiveType g)
Definition: class_list.cpp:914
static SHOGUN_BASIC_CLASS CSGObject * __new_CTensorProductPairKernel(EPrimitiveType g)
Definition: class_list.cpp:713
static SHOGUN_BASIC_CLASS CSGObject * __new_CLDA(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibLinearRegression(EPrimitiveType g)
Definition: class_list.cpp:926
The build-in minimizer for SingleLaplaceInference.
This class implements the CHAID algorithm proposed by Kass (1980) for decision tree learning...
Definition: CHAIDTree.h:90
static SHOGUN_BASIC_CLASS CSGObject * __new_CFisherLDA(EPrimitiveType g)
Definition: class_list.cpp:558
Class CHMSVMModel that represents the application specific model and contains the application depende...
Definition: HMSVMModel.h:31
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearMulticlassMachine(EPrimitiveType g)
Definition: class_list.cpp:869
class AccuracyMeasure used to measure accuracy of 2-class classifier.
Gaussian distribution interface.
Definition: Gaussian.h:49
static SHOGUN_BASIC_CLASS CSGObject * __new_CGradientCriterion(EPrimitiveType g)
Definition: class_list.cpp:562
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIConverter(EPrimitiveType g)
Definition: class_list.cpp:918
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingFile(EPrimitiveType g)
Definition: class_list.cpp:674
static SHOGUN_BASIC_CLASS CSGObject * __new_CJensenShannonKernel(EPrimitiveType g)
Definition: class_list.cpp:731
class MPDSVM
Definition: MPDSVM.h:24
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocalTangentSpaceAlignment(EPrimitiveType g)
class CTwoStateModel class for the internal two-state representation used in the CHMSVMModel.
Definition: TwoStateModel.h:26
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeuralNetwork(EPrimitiveType g)
Definition: class_list.cpp:684
static SHOGUN_BASIC_CLASS CSGObject * __new_CDenseExactLogJob(EPrimitiveType g)
Definition: class_list.cpp:975
Template class SparseFeatures implements sparse matrices.
Preprocessor FisherLDA attempts to model the difference between the classes of data by performing lin...
Definition: FisherLDA.h:91
static SHOGUN_BASIC_CLASS CSGObject * __new_CDiffusionMaps(EPrimitiveType g)
Base class that stores the result of an independent job.
Definition: JobResult.h:21
static SHOGUN_BASIC_CLASS CSGObject * __new_CInverseMultiQuadricKernel(EPrimitiveType g)
Definition: class_list.cpp:718
spectrum rbf kernel
static SHOGUN_BASIC_CLASS CSGObject * __new_CJADiag(EPrimitiveType g)
Definition: class_list.cpp:988
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIDistance(EPrimitiveType g)
Definition: class_list.cpp:910
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeuralLinearLayer(EPrimitiveType g)
Definition: class_list.cpp:689
static SHOGUN_BASIC_CLASS CSGObject * __new_CSNPStringKernel(EPrimitiveType g)
Definition: class_list.cpp:742
class Jade
Definition: Jade.h:36
static SHOGUN_BASIC_CLASS CSGObject * __new_CNOCCO(EPrimitiveType g)
Definition: class_list.cpp:938
static SHOGUN_BASIC_CLASS CSGObject * __new_CSmoothHingeLoss(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CDiagKernel(EPrimitiveType g)
Definition: class_list.cpp:765
The FixedDegree String kernel takes as input two strings of same size and counts the number of matche...
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultidimensionalScaling(EPrimitiveType g)
Class that models Logit likelihood and uses variational piecewise bound to approximate the following ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussian(EPrimitiveType g)
Definition: class_list.cpp:818
class StochasticProximityEmbedding used to construct embeddings of data using the Stochastic Proximit...
Class JADiagOrth.
Definition: JADiagOrth.h:34
A generic multi-layer neural network.
Class QDiag.
Definition: QDiag.h:33
static SHOGUN_BASIC_CLASS CSGObject * __new_CNativeMulticlassMachine(EPrimitiveType g)
Definition: class_list.cpp:875
Trains a one class C SVM.
The periodic kernel as described in The Kernel Cookbook by David Duvenaud: http://people.seas.harvard.edu/~dduvenaud/cookbook/.
static SHOGUN_BASIC_CLASS CSGObject * __new_CLMNN(EPrimitiveType g)
Definition: class_list.cpp:963
static SHOGUN_BASIC_CLASS CSGObject * __new_CRationalQuadraticKernel(EPrimitiveType g)
Definition: class_list.cpp:728
UI time.
Definition: GUITime.h:23
The class Alphabet implements an alphabet and alphabet utility functions.
Definition: Alphabet.h:91
Class Averaged Perceptron implements the standard linear (online) algorithm. Averaged perceptron is t...
This class is identical to the CDenseFeatures class except that it hashes each dimension to a new fea...
static SHOGUN_BASIC_CLASS CSGObject * __new_CRescaleFeatures(EPrimitiveType g)
Definition: class_list.cpp:549
static SHOGUN_BASIC_CLASS CSGObject * __new_CBitString(EPrimitiveType g)
Definition: class_list.cpp:952
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearStructuredOutputMachine(EPrimitiveType g)
Definition: class_list.cpp:873
This class acts as an alternative to the CStreamingSparseFeatures class and their difference is that ...
ANOVA (ANalysis Of VAriances) kernel.
Definition: ANOVAKernel.h:37
static SHOGUN_BASIC_CLASS CSGObject * __new_CPolyKernel(EPrimitiveType g)
Definition: class_list.cpp:764
The class MulticlassAccuracy used to compute accuracy of multiclass classification.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSignal(EPrimitiveType g)
Definition: class_list.cpp:957
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationSplitting(EPrimitiveType g)
Definition: class_list.cpp:593
class Tanimoto coefficient
static SHOGUN_BASIC_CLASS CSGObject * __new_CDeepAutoencoder(EPrimitiveType g)
Definition: class_list.cpp:686
static SHOGUN_BASIC_CLASS CSGObject * __new_CScatterSVM(EPrimitiveType g)
Definition: class_list.cpp:780
class ManhattanMetric
Compression library for compressing and decompressing buffers using one of the standard compression a...
Definition: Compressor.h:46
static SHOGUN_BASIC_CLASS CSGObject * __new_CDenseMatrixExactLog(EPrimitiveType g)
Definition: class_list.cpp:979
static SHOGUN_BASIC_CLASS CSGObject * __new_CGMNPSVM(EPrimitiveType g)
Definition: class_list.cpp:798
static SHOGUN_BASIC_CLASS CSGObject * __new_CCHAIDTree(EPrimitiveType g)
Definition: class_list.cpp:813
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCHDDecoder(EPrimitiveType g)
Definition: class_list.cpp:788
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedDegreePositionStringKernel(EPrimitiveType g)
Definition: class_list.cpp:744
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLibLinear(EPrimitiveType g)
Definition: class_list.cpp:814
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomFourierGaussPreproc(EPrimitiveType g)
Definition: class_list.cpp:560
static SHOGUN_BASIC_CLASS CSGObject * __new_CLMNNStatistics(EPrimitiveType g)
Definition: class_list.cpp:964
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskROCEvaluation(EPrimitiveType g)
Definition: class_list.cpp:607
class ChiSquareDistance
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CWrappedSGMatrix(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassOCAS(EPrimitiveType g)
Definition: class_list.cpp:797
static SHOGUN_BASIC_CLASS CSGObject * __new_CCommUlongStringKernel(EPrimitiveType g)
Definition: class_list.cpp:743
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIFeatures(EPrimitiveType g)
Definition: class_list.cpp:907
static SHOGUN_BASIC_CLASS CSGObject * __new_COnlineLibLinear(EPrimitiveType g)
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingFileFromStringFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CDualLibQPBMSOSVM(EPrimitiveType g)
Definition: class_list.cpp:851
VwAdaptiveLearner uses an adaptive subgradient technique to update weights.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCustomDistance(EPrimitiveType g)
Definition: class_list.cpp:620
Generalized T-Student kernel.
class LocalTangentSpaceAlignment used to embed data using Local Tangent Space Alignment (LTSA) algori...
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraph(EPrimitiveType g)
Definition: class_list.cpp:860
static SHOGUN_BASIC_CLASS CSGObject * __new_CHomogeneousKernelMap(EPrimitiveType g)
Definition: class_list.cpp:556
static SHOGUN_BASIC_CLASS CSGObject * __new_CContingencyTableEvaluation(EPrimitiveType g)
Definition: class_list.cpp:570
class IntronList
Definition: SegmentLoss.h:24
Class LMNNStatistics used to give access to intermediate results obtained training LMNN...
Definition: LMNN.h:249
Preprocessor SortUlongString, sorts the indivual strings in ascending order.
The SalzbergWordString kernel implements the Salzberg kernel.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationMKLStorage(EPrimitiveType g)
Definition: class_list.cpp:563
static SHOGUN_BASIC_CLASS CSGObject * __new_CLeastSquaresRegression(EPrimitiveType g)
Definition: class_list.cpp:919
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedDegreeStringKernel(EPrimitiveType g)
Definition: class_list.cpp:740
static SHOGUN_BASIC_CLASS CSGObject * __new_CManifoldSculpting(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CPCA(EPrimitiveType g)
Definition: class_list.cpp:557
Preprocessor LogPlusOne does what the name says, it adds one to a dense real valued vector and takes ...
Definition: LogPlusOne.h:34
A generic KernelMachine interface.
Definition: KernelMachine.h:51
static SHOGUN_BASIC_CLASS CSGObject * __new_CGEMPLP(EPrimitiveType g)
Definition: class_list.cpp:846
Multiple Kernel Learning for one-class-classification.
Definition: MKLOneClass.h:27
static SHOGUN_BASIC_CLASS CSGObject * __new_CExactInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:880
class TaskGroup used to represent a group of tasks. Tasks in group do not overlap.
Definition: TaskGroup.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CMachine(EPrimitiveType g)
Definition: class_list.cpp:866
static SHOGUN_BASIC_CLASS CSGObject * __new_CNormalSampler(EPrimitiveType g)
Definition: class_list.cpp:972
Class for buffered reading from a ascii file.
Definition: LineReader.h:24
Agglomerative hierarchical single linkage clustering.
Definition: Hierarchical.h:38
Build-in minimizer for KLDualInference.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidation(EPrimitiveType g)
Definition: class_list.cpp:589
Class CSequenceLabels used e.g. in the application of Structured Output (SO) learning to Hidden Marko...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingHashedSparseFeatures(EPrimitiveType g)
class KernelLocallyLinearEmbedding used to construct embeddings of data using kernel formulation of L...
static SHOGUN_BASIC_CLASS CSGObject * __new_CNearestCentroid(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibLinearMTL(EPrimitiveType g)
Definition: class_list.cpp:609
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDenseSubsetFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CSOBI(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CChiSquareDistance(EPrimitiveType g)
Definition: class_list.cpp:627
static SHOGUN_BASIC_CLASS CSGObject * __new_CKMeans(EPrimitiveType g)
Definition: class_list.cpp:616
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingFileFromDenseFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparsePolyFeatures(EPrimitiveType g)
Definition: class_list.cpp:663
The class SNPStringKernel computes a variant of the polynomial kernel on strings of same length...
static SHOGUN_BASIC_CLASS CSGObject * __new_CStochasticProximityEmbedding(EPrimitiveType g)
Features that compute the Weighted Degreee Kernel feature space explicitly.
Definition: WDFeatures.h:30
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCForestEncoder(EPrimitiveType g)
Definition: class_list.cpp:795
static SHOGUN_BASIC_CLASS CSGObject * __new_CExponentialKernel(EPrimitiveType g)
Definition: class_list.cpp:719
static SHOGUN_BASIC_CLASS CSGObject * __new_CDynamicObjectArray(EPrimitiveType g)
Definition: class_list.cpp:951
type to encapsulate the results of an evaluation run.
The Kernel distance takes a distance as input.
The Exponential Kernel, closely related to the Gaussian Kernel computed on CDotFeatures.
TanimotoKernelNormalizer performs kernel normalization inspired by the Tanimoto coefficient (see http...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CSimpleFile(EPrimitiveType g)
Class to create unbiased estimators of . For each estimate, it samples trace vectors (one by one) and...
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentSVM(EPrimitiveType g)
Definition: class_list.cpp:961
class ManhattanWordDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CAUCKernel(EPrimitiveType g)
Definition: class_list.cpp:722
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearKernel(EPrimitiveType g)
Definition: class_list.cpp:766
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelMachine(EPrimitiveType g)
Definition: class_list.cpp:864
Base class for neural network layers.
Definition: NeuralLayer.h:87
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogKernel(EPrimitiveType g)
Definition: class_list.cpp:721
Class FactorGraphLabels used e.g. in the application of Structured Output (SO) learning with the Fact...
Computes the Spline Kernel function which is the cubic polynomial.
Definition: SplineKernel.h:38
static SHOGUN_BASIC_CLASS CSGObject * __new_CTanimotoKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:703
class DomainAdaptationSVMLinear
Class CMultilabelModel represents application specific model and contains application dependent logic...
Model selection class which searches for the best model by a grid- search. See CModelSelection for de...
class Tron
Definition: tron.h:55
This class implements the kernel density estimation technique. Kernel density estimation is a non-par...
Definition: KernelDensity.h:61
class LibSVMMultiClass. Does one vs one classification.
static SHOGUN_BASIC_CLASS CSGObject * __new_CStochasticSOSVM(EPrimitiveType g)
Definition: class_list.cpp:841
static SHOGUN_BASIC_CLASS CSGObject * __new_CDisjointSet(EPrimitiveType g)
Definition: class_list.cpp:833
This is the implementation of EM specialized for Mixture models.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSquaredLoss(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMSGD(EPrimitiveType g)
The WeightedCommWordString kernel may be used to compute the weighted spectrum kernel (i...
static SHOGUN_BASIC_CLASS CSGObject * __new_CHistogramIntersectionKernel(EPrimitiveType g)
Definition: class_list.cpp:725
static SHOGUN_BASIC_CLASS CSGObject * __new_CFastICA(EPrimitiveType g)
Multiple Kernel Learning for regression.
Definition: MKLRegression.h:27
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianMatchStringKernel(EPrimitiveType g)
Definition: class_list.cpp:733
Class CMeanSquaredLogError used to compute an error of regression model.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCCSOSVM(EPrimitiveType g)
Definition: class_list.cpp:832
static SHOGUN_BASIC_CLASS CSGObject * __new_CBALMeasure(EPrimitiveType g)
Definition: class_list.cpp:573
Class LDA implements regularized Linear Discriminant Analysis.
Definition: LDA.h:89
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibLinear(EPrimitiveType g)
Computes the Tensor Product Pair Kernel (TPPK).
class Plif
Definition: Plif.h:40
A generic DistanceMachine interface.
A generic learning machine interface.
Definition: Machine.h:143
static SHOGUN_BASIC_CLASS CSGObject * __new_CDistantSegmentsKernel(EPrimitiveType g)
Definition: class_list.cpp:747
The class wraps the Shogun's C-style LBFGS minimizer.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSqrtDiagKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:698
UI classifier.
Definition: GUIClassifier.h:24
Class CSequence to be used in the application of Structured Output (SO) learning to Hidden Markov Sup...
Class to select parameters and their ranges for model selection. The structure is organized as a tree...
class LibSVMOneClass
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeuralSoftmaxLayer(EPrimitiveType g)
Definition: class_list.cpp:690
static SHOGUN_BASIC_CLASS CSGObject * __new_CChi2Kernel(EPrimitiveType g)
Definition: class_list.cpp:724
static SHOGUN_BASIC_CLASS CSGObject * __new_CVarDTCInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:891
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentFeatures(EPrimitiveType g)
Definition: class_list.cpp:667
A CNode is an element of a CTaxonomy, which is used to describe hierarchical structure between tasks...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSegmentLoss(EPrimitiveType g)
Definition: class_list.cpp:831
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomCARTree(EPrimitiveType g)
Definition: class_list.cpp:812
class to add subset support to another class. A CSubsetStackStack instance should be added and wrappe...
Definition: SubsetStack.h:37
class DiffusionMaps used to preprocess given data using Diffusion Maps dimensionality reduction techn...
Definition: DiffusionMaps.h:39
Class LinearRidgeRegression implements Ridge Regression - a regularized least square method for class...
Class that contains certain functions related to statistics, such as probability/cumulative distribut...
Definition: Statistics.h:30
A Streaming File access class.
Definition: StreamingFile.h:34
Class that contains certain methods related to numerical integration.
Definition: Integration.h:42
The Constant Kernel returns a constant for all elements.
Definition: ConstKernel.h:29
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCEDDecoder(EPrimitiveType g)
Definition: class_list.cpp:787
class F1Measure used to measure F1 score of 2-class classifier.
Class LMNN that implements the distance metric learning technique Large Margin Nearest Neighbour (LMN...
Definition: LMNN.h:36
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUILabels(EPrimitiveType g)
Definition: class_list.cpp:913
CCSOSVM.
Definition: CCSOSVM.h:43
The Chi2 kernel operating on realvalued vectors computes the chi-squared distance between sets of his...
Definition: Chi2Kernel.h:34
Features that compute the Weighted Spectrum Kernel feature space explicitly.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSubset(EPrimitiveType g)
Definition: class_list.cpp:640
This class implements the stochastic gradient boosting algorithm for ensemble learning invented by Je...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStringFeatures(EPrimitiveType g)
Class that aggregates vector job results in each submit_result call of jobs generated from rational a...
The class BinnedDotFeatures contains a 0-1 conversion of features into bins.
Class StreamingFileFromFeatures to read vector-by-vector from a CFeatures object. ...
class ChebyshewMetric
Preprocessor PruneVarSubMean will substract the mean and remove features that have zero variance...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVRLight(EPrimitiveType g)
Definition: class_list.cpp:925
static SHOGUN_BASIC_CLASS CSGObject * __new_CHingeLoss(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CMPDSVM(EPrimitiveType g)
Gaussian Kernel with Automatic Relevance Detection computed on CDotFeatures.
static SHOGUN_BASIC_CLASS CSGObject * __new_CUAIFile(EPrimitiveType g)
Definition: class_list.cpp:680
static SHOGUN_BASIC_CLASS CSGObject * __new_CPluginEstimate(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CTaskGroup(EPrimitiveType g)
Definition: class_list.cpp:601
Class for storing MKL weights in every fold of cross-validation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianCompactKernel(EPrimitiveType g)
Definition: class_list.cpp:710
static SHOGUN_BASIC_CLASS CSGObject * __new_CParser(EPrimitiveType g)
Definition: class_list.cpp:681
Class that provides a solve method for complex dense-matrix linear systems.
The AUC kernel can be used to maximize the area under the receiver operator characteristic curve (AUC...
Definition: AUCKernel.h:35
Multiclass Labels for multi-class classification.
class UWedgeSep
Definition: UWedgeSep.h:34
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultilabelAccuracy(EPrimitiveType g)
Definition: class_list.cpp:590
Implementation of independent job that solves one of the family of shifted systems in rational approx...
class IntronList
Definition: IntronList.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CRegressionLabels(EPrimitiveType g)
Definition: class_list.cpp:768
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelMaskNormalizer(EPrimitiveType g)
Definition: class_list.cpp:612
static SHOGUN_BASIC_CLASS CSGObject * __new_CEPInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:893
the class Bessel kernel
Definition: BesselKernel.h:34
The distant segments kernel is a string kernel, which counts the number of substrings, so-called segments, at a certain distance from each other.
static SHOGUN_BASIC_CLASS CSGObject * __new_CAttenuatedEuclideanDistance(EPrimitiveType g)
Definition: class_list.cpp:632
static SHOGUN_BASIC_CLASS CSGObject * __new_CUWedge(EPrimitiveType g)
Definition: class_list.cpp:987
static SHOGUN_BASIC_CLASS CSGObject * __new_CProbitLikelihood(EPrimitiveType g)
Definition: class_list.cpp:884
Weighted Majority Vote implementation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSingleLaplaceNewtonOptimizer(EPrimitiveType g)
Definition: class_list.cpp:882
static SHOGUN_BASIC_CLASS CSGObject * __new_CFKFeatures(EPrimitiveType g)
Definition: class_list.cpp:660
static SHOGUN_BASIC_CLASS CSGObject * __new_CWaveletKernel(EPrimitiveType g)
Definition: class_list.cpp:757
CSGObject *(* new_sgserializable_t)(EPrimitiveType generic)
static SHOGUN_BASIC_CLASS CSGObject * __new_CRecallMeasure(EPrimitiveType g)
Definition: class_list.cpp:577
Class C45ClassifierTree implements the C4.5 algorithm for decision tree learning. The algorithm steps...
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassOneVsRestStrategy(EPrimitiveType g)
Definition: class_list.cpp:803
The class PolyMatchWordStringKernel computes a variant of the polynomial kernel on word-features...
class LocalityPreservingProjections used to compute embeddings of data using Locality Preserving Proj...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDenseMatrixOperator(EPrimitiveType g)
class Multidimensionalscaling is used to perform multidimensional scaling (capable of landmark approx...
static SHOGUN_BASIC_CLASS CSGObject * __new_CTask(EPrimitiveType g)
Definition: class_list.cpp:603
Class SVRLight, performs support vector regression using SVMLight.
Definition: SVRLight.h:62
The helper class to specialize base class instances of labels.
Definition: LabelsFactory.h:31
Class that is able to generate various data samples, which may be used for examples in SHOGUN...
Definition: DataGenerator.h:25
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIMath(EPrimitiveType g)
Definition: class_list.cpp:915
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianKernel(EPrimitiveType g)
Definition: class_list.cpp:758
Class CSVFile used to read data from comma-separated values (CSV) files. See http://en.wikipedia.org/wiki/Comma-separated_values.
Definition: CSVFile.h:29
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossCorrelationMeasure(EPrimitiveType g)
Definition: class_list.cpp:576
The compact version as given in Bart Hamers' thesis Kernel Models for Large Scale Applications (Eq...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSerialComputationEngine(EPrimitiveType g)
Definition: class_list.cpp:944
The dual KL approximation inference method class.
class DomainAdaptationSVM
Neural layer with linear neurons, with a softmax activation function. can be only be used as an outpu...
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeuralLogisticLayer(EPrimitiveType g)
Definition: class_list.cpp:694
The HistogramWordString computes the TOP kernel on inhomogeneous Markov Chains.
static SHOGUN_BASIC_CLASS CSGObject * __new_CStudentsTVGLikelihood(EPrimitiveType g)
Definition: class_list.cpp:906
This class implements the quadratic time Maximum Mean Statistic as described in [1]. The MMD is the distance of two probability distributions and in a RKHS which we denote by .
static SHOGUN_BASIC_CLASS CSGObject * __new_CPolyMatchWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:752
This class can be used to convert a document collection contained in a CStringFeatures object w...
NeighborhoodPreservingEmbedding converter used to construct embeddings as described in: ...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CSet(EPrimitiveType g)
This class acts as an alternative to the CStreamingDenseFeatures class and their difference is that t...
static SHOGUN_BASIC_CLASS CSGObject * __new_CZeroMean(EPrimitiveType g)
Definition: class_list.cpp:902
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianProcessMachine(EPrimitiveType g)
Definition: class_list.cpp:878
static SHOGUN_BASIC_CLASS CSGObject * __new_CGMM(EPrimitiveType g)
Definition: class_list.cpp:615
static SHOGUN_BASIC_CLASS CSGObject * __new_CANOVAKernel(EPrimitiveType g)
Definition: class_list.cpp:712
Class for storing multiclass evaluation information in every fold of cross-validation.
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianShiftKernel(EPrimitiveType g)
Definition: class_list.cpp:708
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelDistance(EPrimitiveType g)
Definition: class_list.cpp:625
static SHOGUN_BASIC_CLASS CSGObject * __new_CF1Measure(EPrimitiveType g)
Definition: class_list.cpp:575
static SHOGUN_BASIC_CLASS CSGObject * __new_CGradientModelSelection(EPrimitiveType g)
Definition: class_list.cpp:993
Represents a muti-layer autoencoder.
Class ROCEvalution used to evaluate ROC (Receiver Operating Characteristic) and an area under ROC cur...
Definition: ROCEvaluation.h:32
generic linear multiclass machine
static SHOGUN_BASIC_CLASS CSGObject * __new_CFITCInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:900
Simple class which specifies the direction of gradient search.
CMajorityVote is a CWeightedMajorityVote combiner, where each Machine's weight in the ensemble is 1...
Definition: MajorityVote.h:24
Implementation of Leave one out cross-validation on the base of CCrossValidationSplitting. Produces subset index sets consisting of one element,for each label.
static SHOGUN_BASIC_CLASS CSGObject * __new_CAbsoluteDeviationLoss(EPrimitiveType g)
A Deep Belief Network.
static SHOGUN_BASIC_CLASS CSGObject * __new_CJADiagOrth(EPrimitiveType g)
Definition: class_list.cpp:991
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIKernel(EPrimitiveType g)
Definition: class_list.cpp:916
static SHOGUN_BASIC_CLASS CSGObject * __new_CMajorityVote(EPrimitiveType g)
Definition: class_list.cpp:931
Class for reading from a string.
Definition: Parser.h:23
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionMax(EPrimitiveType g)
Definition: class_list.cpp:937
Class SGObject is the base class of all shogun objects.
Definition: SGObject.h:115
the class CSet, a set based on the hash-table. w: http://en.wikipedia.org/wiki/Hash_table ...
Definition: Set.h:51
Class MultitaskROCEvalution used to evaluate ROC (Receiver Operating Characteristic) and an area unde...
static SHOGUN_BASIC_CLASS CSGObject * __new_CRelaxedTree(EPrimitiveType g)
Definition: class_list.cpp:807
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskClusteredLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:606
Class that models Student's T likelihood and uses numerical integration to approximate the following ...
Features that compute the Weighted Degreee Kernel feature space explicitly.
class MultiClassSVM
Definition: MulticlassSVM.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CKMeansMiniBatch(EPrimitiveType g)
Definition: class_list.cpp:614
Class MultilabelCLRModel represents application specific model and contains application dependent log...
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwNativeCacheWriter(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCStrategy(EPrimitiveType g)
Definition: class_list.cpp:794
static SHOGUN_BASIC_CLASS CSGObject * __new_CScatterKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:704
Class CFactorGraphDataGenerator Create factor graph data for multiple unit tests. ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelTreeNormalizer(EPrimitiveType g)
Definition: class_list.cpp:611
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparseSpatialSampleStringKernel(EPrimitiveType g)
Definition: class_list.cpp:734
static SHOGUN_BASIC_CLASS CSGObject * __new_CTanimotoDistance(EPrimitiveType g)
Definition: class_list.cpp:637
KMeans clustering, partitions the data into k (a-priori specified) clusters.
Definition: KMeans.h:45
static SHOGUN_BASIC_CLASS CSGObject * __new_CStudentsTLikelihood(EPrimitiveType g)
Definition: class_list.cpp:892
Computes the standard linear kernel on dense char valued features.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparseMultilabel(EPrimitiveType g)
Definition: class_list.cpp:837
Simple wrapper class that allows to store any Shogun basic parameter (i.e. float64_t, int64_t, char, etc) in a CSGObject, and therefore to make it serializable. Using a template argument that is not a Shogun parameter will cause a compile error when trying to register the passed value as a parameter in the constructors.
Definition: WrappedBasic.h:66
static SHOGUN_BASIC_CLASS CSGObject * __new_CImplicitWeightedSpecFeatures(EPrimitiveType g)
Definition: class_list.cpp:665
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndexBlock(EPrimitiveType g)
Definition: class_list.cpp:954
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwNonAdaptiveLearner(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CGPBTSVM(EPrimitiveType g)
An experimental kernel inspired by the WeightedDegreePositionStringKernel and the Gaussian kernel...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CBinaryStream(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CPruneVarSubMean(EPrimitiveType g)
Definition: class_list.cpp:554
Class that computes eigenvalues of a real valued, self-adjoint linear operator using Lanczos algorith...
dummy data holder
Definition: Data.h:25
static SHOGUN_BASIC_CLASS CSGObject * __new_CSoftMaxLikelihood(EPrimitiveType g)
Definition: class_list.cpp:905
VwNonAdaptiveLearner uses a standard gradient descent weight update rule.
static SHOGUN_BASIC_CLASS CSGObject * __new_CBAHSIC(EPrimitiveType g)
Definition: class_list.cpp:552
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianDistribution(EPrimitiveType g)
Definition: class_list.cpp:825
static SHOGUN_BASIC_CLASS CSGObject * __new_CWRACCMeasure(EPrimitiveType g)
Definition: class_list.cpp:574
Template class that aggregates scalar job results in each submit_result call, finalize then transform...
The CommWordString kernel may be used to compute the spectrum kernel from strings that have been mapp...
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeuralLayer(EPrimitiveType g)
Definition: class_list.cpp:696
Class that models Probit likelihood and uses numerical integration to approximate the following varia...
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CCache(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearHMM(EPrimitiveType g)
Definition: class_list.cpp:826
static SHOGUN_BASIC_CLASS CSGObject * __new_CSquaredHingeLoss(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CLaRank(EPrimitiveType g)
Definition: class_list.cpp:778
CMeanRule simply averages the outputs of the Machines in the ensemble.
Definition: MeanRule.h:23
Preprocessor PNorm, normalizes vectors to have p-norm.
Definition: PNorm.h:32
static SHOGUN_BASIC_CLASS CSGObject * __new_CClusteringMutualInformation(EPrimitiveType g)
Definition: class_list.cpp:568
class AttenuatedEuclideanDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CExponentialLoss(EPrimitiveType g)
Class Histogram computes a histogram over all 16bit unsigned integers in the features.
Definition: Histogram.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CBesselKernel(EPrimitiveType g)
Definition: class_list.cpp:716
Class UWedge.
Definition: UWedge.h:33
class FastICA
Definition: FastICA.h:32
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeuralInputLayer(EPrimitiveType g)
Definition: class_list.cpp:695
static SHOGUN_BASIC_CLASS CSGObject * __new_CHSIC(EPrimitiveType g)
Definition: class_list.cpp:932
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelPCA(EPrimitiveType g)
Definition: class_list.cpp:550
This class implements streaming features as strings.
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogRationalApproximationCGM(EPrimitiveType g)
Definition: class_list.cpp:980
static SHOGUN_BASIC_CLASS CSGObject * __new_CTDistributedStochasticNeighborEmbedding(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CFirstElementKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:702
static SHOGUN_BASIC_CLASS CSGObject * __new_CErrorRateMeasure(EPrimitiveType g)
Definition: class_list.cpp:572
class JensenMetric
Definition: JensenMetric.h:36
The class PolyMatchStringKernel computes a variant of the polynomial kernel on strings of same length...
static SHOGUN_BASIC_CLASS CSGObject * __new_CAvgDiagKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:699
This class is identical to the CDenseFeatures class except that it hashes each dimension to a new fea...
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLMulticlass(EPrimitiveType g)
Class CFactorGraphObservation is used as the structured output.
Class for Least Angle Regression, can be used to solve LASSO.
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCAEDDecoder(EPrimitiveType g)
Definition: class_list.cpp:790
static SHOGUN_BASIC_CLASS CSGObject * __new_CDimensionReductionPreprocessor(EPrimitiveType g)
Definition: class_list.cpp:551
static SHOGUN_BASIC_CLASS CSGObject * __new_CSingleLaplaceInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:881
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationResult(EPrimitiveType g)
Definition: class_list.cpp:588
#define STRING_LEN
Definition: common.h:55
static SHOGUN_BASIC_CLASS CSGObject * __new_CSOSVMHelper(EPrimitiveType g)
Definition: class_list.cpp:848
static class_list_entry_t class_list[]
static SHOGUN_BASIC_CLASS CSGObject * __new_CModelSelectionParameters(EPrimitiveType g)
Definition: class_list.cpp:995
static SHOGUN_BASIC_CLASS CSGObject * __new_CDomainAdaptationMulticlassLibLinear(EPrimitiveType g)
Definition: class_list.cpp:596
Implementation of independent jobs that solves one whole family of shifted systems in rational approx...
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingVwFeatures(EPrimitiveType g)
Definition: class_list.cpp:645
CFactorGraphFeatures maintains an array of factor graphs, each graph is a sample, i...
static SHOGUN_BASIC_CLASS CSGObject * __new_CManhattanMetric(EPrimitiveType g)
Definition: class_list.cpp:633
This class provides an interface to the LibLinear library for large- scale linear learning focusing o...
Definition: LibLinear.h:61
Regressor used by VW.
Definition: VwRegressor.h:37
multiclass LibLinear wrapper. Uses Crammer-Singer formulation and gradient descent optimization algor...
Class CFactorDataSource Source for factor data. In some cases, the same data can be shared by many fa...
Definition: Factor.h:27
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskLeastSquaresRegression(EPrimitiveType g)
Definition: class_list.cpp:608
class CSOSVMHelper contains helper functions to compute primal objectives, dual objectives, average training losses, duality gaps etc. These values will be recorded to check convergence. This class is inspired by the matlab implementation of the block coordinate Frank-Wolfe SOSVM solver [1].
Definition: SOSVMHelper.h:31
static SHOGUN_BASIC_CLASS CSGObject * __new_CDummyFeatures(EPrimitiveType g)
Definition: class_list.cpp:666
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearRidgeRegression(EPrimitiveType g)
Definition: class_list.cpp:920
static SHOGUN_BASIC_CLASS CSGObject * __new_CCSVFile(EPrimitiveType g)
Definition: class_list.cpp:669
static SHOGUN_BASIC_CLASS CSGObject * __new_CDistanceMachine(EPrimitiveType g)
Definition: class_list.cpp:872
A File access base class.
Definition: File.h:34
static SHOGUN_BASIC_CLASS CSGObject * __new_CSequence(EPrimitiveType g)
Definition: class_list.cpp:844
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogLoss(EPrimitiveType g)
class IndexBlock used to represent contiguous indices of one group (e.g. block of related features) ...
Definition: IndexBlock.h:25
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomFourierDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:656
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultilabelSOLabels(EPrimitiveType g)
Definition: class_list.cpp:838
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeuralLeakyRectifiedLinearLayer(EPrimitiveType g)
Definition: class_list.cpp:687
static SHOGUN_BASIC_CLASS CSGObject * __new_CJade(EPrimitiveType g)
Class CBAHSIC, that extends CKernelDependenceMaximization and uses HSIC [1] to compute dependence mea...
Definition: BAHSIC.h:58
static SHOGUN_BASIC_CLASS CSGObject * __new_CDiceKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:706
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingSparseFeatures(EPrimitiveType g)
Pyramid Kernel over Chi2 matched histograms.
Definition: PyramidChi2.h:30
class SVMSGD
Definition: SVMSGD.h:36
static SHOGUN_BASIC_CLASS CSGObject * __new_CLaplacianEigenmaps(EPrimitiveType g)
Definition: class_list.cpp:999
Multiple Kernel Learning for two-class-classification.
Class MeanAbsoluteError used to compute an error of regression model.
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCIHDDecoder(EPrimitiveType g)
Definition: class_list.cpp:796
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassLibSVM(EPrimitiveType g)
Definition: class_list.cpp:779
static SHOGUN_BASIC_CLASS CSGObject * __new_CDelimiterTokenizer(EPrimitiveType g)
Definition: class_list.cpp:953
static SHOGUN_BASIC_CLASS CSGObject * __new_CQPBSVMLib(EPrimitiveType g)
class LocallyLinearEmbedding used to embed data using Locally Linear Embedding algorithm described in...
static SHOGUN_BASIC_CLASS CSGObject * __new_COligoStringKernel(EPrimitiveType g)
Definition: class_list.cpp:750
UI math.
Definition: GUIMath.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CFixedDegreeStringKernel(EPrimitiveType g)
Definition: class_list.cpp:741
static SHOGUN_BASIC_CLASS CSGObject * __new_CSpectrumMismatchRBFKernel(EPrimitiveType g)
Definition: class_list.cpp:732
static SHOGUN_BASIC_CLASS CSGObject * __new_CDynProg(EPrimitiveType g)
Definition: class_list.cpp:849
Class that computes eigenvalues of a real valued, self-adjoint dense matrix linear operator using Eig...
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedDegreeRBFKernel(EPrimitiveType g)
Definition: class_list.cpp:729
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearMachine(EPrimitiveType g)
Definition: class_list.cpp:867
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianShortRealKernel(EPrimitiveType g)
Definition: class_list.cpp:715
static SHOGUN_BASIC_CLASS CSGObject * __new_CSplineKernel(EPrimitiveType g)
Definition: class_list.cpp:727
Class CStreamingFileFromStringFeatures is derived from CStreamingFile and provides an input source fo...
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorDataSource(EPrimitiveType g)
Definition: class_list.cpp:855
static SHOGUN_BASIC_CLASS CSGObject * __new_CCircularKernel(EPrimitiveType g)
Definition: class_list.cpp:709
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelRidgeRegression(EPrimitiveType g)
Definition: class_list.cpp:922
The Regulaty Modules kernel, based on the WD kernel, as published in Schultheiss et al...
The Weighted Degree String kernel.
CFactorGraphModel defines a model in terms of CFactorGraph and CMAPInference, where parameters are as...
static SHOGUN_BASIC_CLASS CSGObject * __new_CEuclideanDistance(EPrimitiveType g)
Definition: class_list.cpp:630
static SHOGUN_BASIC_CLASS CSGObject * __new_CRidgeKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:705
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedCommWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:739
Sparse Spatial Sample String Kernel by Pavel Kuksa pkuksa@cs.rutgers.edu and Vladimir Pavlovic vladim...
static SHOGUN_BASIC_CLASS CSGObject * __new_CHuberLoss(EPrimitiveType g)
The MultitaskKernel allows Multitask Learning via a modified kernel function.
Class JADiag.
Definition: JADiag.h:34
static SHOGUN_BASIC_CLASS CSGObject * __new_CWDFeatures(EPrimitiveType g)
Definition: class_list.cpp:648
The well known Gaussian kernel (swiss army knife for SVMs) on dense short-real valued features...
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCLLBDecoder(EPrimitiveType g)
Definition: class_list.cpp:792
Class CHashedMultilabelModel represents application specific model and contains application dependent...
The Combined kernel is used to combine a number of kernels into a single CombinedKernel object by lin...
UI structure.
Definition: GUIStructure.h:28
static SHOGUN_BASIC_CLASS CSGObject * __new_CNeuralRectifiedLinearLayer(EPrimitiveType g)
Definition: class_list.cpp:691
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCRandomSparseEncoder(EPrimitiveType g)
Definition: class_list.cpp:793
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultilabelLabels(EPrimitiveType g)
Definition: class_list.cpp:775
the scatter kernel normalizer
Dynamic array class for CSGObject pointers that creates an array that can be used like a list or an a...
Class KNN, an implementation of the standard k-nearest neigbor classifier.
Definition: KNN.h:68
memory mapped emulation via binary streams (files)
Definition: BinaryStream.h:30
CSGObject * new_sgserializable(const char *sgserializable_name, EPrimitiveType generic)
static SHOGUN_BASIC_CLASS CSGObject * __new_CHashedDocConverter(EPrimitiveType g)
Normalize the kernel by a constant obtained from the first element of the kernel matrix, i.e. .
Class LinearMachine is a generic interface for all kinds of linear machines like classifiers.
Definition: LinearMachine.h:63
Class CustomMahalanobisDistance used to compute the distance between feature vectors and as ...
Identity Kernel Normalization, i.e. no normalization is applied.
static SHOGUN_BASIC_CLASS CSGObject * __new_CCauchyKernel(EPrimitiveType g)
Definition: class_list.cpp:767
Class CDisjointSet data structure for linking graph nodes It's easy to identify connected graph...
Definition: DisjointSet.h:26
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMLightOneClass(EPrimitiveType g)
The class MatchWordStringKernel computes a variant of the polynomial kernel on strings of same length...
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassTreeGuidedLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:815
static SHOGUN_BASIC_CLASS CSGObject * __new_CGNPPSVM(EPrimitiveType g)
This class implements KD-Tree. cf. http://www.autonlab.org/autonweb/14665/version/2/part/5/data/moore...
Definition: KDTree.h:45
static SHOGUN_BASIC_CLASS CSGObject * __new_CDomainAdaptationSVMLinear(EPrimitiveType g)
Definition: class_list.cpp:595
Normalize the kernel by adding a constant term to its diagonal. This aids kernels to become positive ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CGridSearchModelSelection(EPrimitiveType g)
Definition: class_list.cpp:992
static SHOGUN_BASIC_CLASS CSGObject * __new_CHashedDocDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:659
static SHOGUN_BASIC_CLASS CSGObject * __new_CNewtonSVM(EPrimitiveType g)
Class CSparseMultilabel to be used in the application of Structured Output (SO) learning to Multilabe...
Class NearestCentroid, an implementation of Nearest Shrunk Centroid classifier.
class BALMeasure used to measure balanced error of 2-class classifier.
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndividualJobResultAggregator(EPrimitiveType g)
Definition: class_list.cpp:976
A Binary file access class.
Definition: BinaryFile.h:30
static SHOGUN_BASIC_CLASS CSGObject * __new_CIOBuffer(EPrimitiveType g)
Definition: class_list.cpp:678
SimpleLocalityImprovedString kernel, is a ``simplified'' and better performing version of the Localit...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSalzbergWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:755
Class that models dual variational logit likelihood.
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanSquaredLogError(EPrimitiveType g)
Definition: class_list.cpp:564
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVMFile(EPrimitiveType g)
Definition: class_list.cpp:670
static SHOGUN_BASIC_CLASS CSGObject * __new_CStratifiedCrossValidationSplitting(EPrimitiveType g)
Definition: class_list.cpp:567
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanRule(EPrimitiveType g)
Definition: class_list.cpp:930
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparseInverseCovariance(EPrimitiveType g)
Definition: class_list.cpp:965
static SHOGUN_BASIC_CLASS CSGObject * __new_CSparseEuclideanDistance(EPrimitiveType g)
Definition: class_list.cpp:634
static SHOGUN_BASIC_CLASS CSGObject * __new_CProductKernel(EPrimitiveType g)
Definition: class_list.cpp:723
class SpecificityMeasure used to measure specificity of 2-class classifier.
The MultitaskKernel allows learning a piece-wise linear function (PLIF) via MKL.
class WRACCMeasure used to measure weighted relative accuracy of 2-class classifier.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPolyMatchStringKernel(EPrimitiveType g)
Definition: class_list.cpp:737
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwEnvironment(EPrimitiveType g)
ZeroMeanCenterKernelNormalizer centers the kernel in feature space.
Class that holds ONE combination of parameters for a learning machine. The structure is organized as ...
Features that compute the Spectrum Kernel feature space explicitly.
The Const mean function class.
Definition: ConstMean.h:48
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIPluginEstimate(EPrimitiveType g)
Definition: class_list.cpp:912
static SHOGUN_BASIC_CLASS CSGObject * __new_CStructuredOutputMachine(EPrimitiveType g)
Definition: class_list.cpp:877
static SHOGUN_BASIC_CLASS CSGObject * __new_CID3ClassifierTree(EPrimitiveType g)
Definition: class_list.cpp:805
Class that models Logit likelihood and uses numerical integration to approximate the following variat...
Class StreamingVwCacheFile to read vector-by-vector from VW cache files.
The well known Gaussian kernel (swiss army knife for SVMs) computed on CDotFeatures.
Class CStochasticSOSVM solves SOSVM using stochastic subgradient descent on the SVM primal problem [1...
static SHOGUN_BASIC_CLASS CSGObject * __new_CHierarchicalMultilabelModel(EPrimitiveType g)
Definition: class_list.cpp:835
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CMemoryMappedFile(EPrimitiveType g)
This class implements streaming features for use with VW.
static SHOGUN_BASIC_CLASS CSGObject * __new_CSphericalKernel(EPrimitiveType g)
Definition: class_list.cpp:756
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwAdaptiveLearner(EPrimitiveType g)
The Distance kernel takes a distance as input.
class HessianLocallyLinearEmbedding used to preprocess data using Hessian Locally Linear Embedding al...
Preprocessor RescaleFeautres is rescaling the range of features to make the features independent of e...
static SHOGUN_BASIC_CLASS CSGObject * __new_CCanberraWordDistance(EPrimitiveType g)
Definition: class_list.cpp:621
The class TOPFeatures implements TOP kernel features obtained from two Hidden Markov models...
Definition: TOPFeatures.h:70
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCOVOEncoder(EPrimitiveType g)
Definition: class_list.cpp:786
static SHOGUN_BASIC_CLASS CSGObject * __new_CROCEvaluation(EPrimitiveType g)
Definition: class_list.cpp:580
class RecallMeasure used to measure recall of 2-class classifier.
Class that represents a dense-matrix linear operator. It computes matrix-vector product in its apply...
Class CMAPInference performs MAP inference on a factor graph. Briefly, given a factor graph model...
Definition: MAPInference.h:46
static SHOGUN_BASIC_CLASS CSGObject * __new_CIdentityKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:701
static SHOGUN_BASIC_CLASS CSGObject * __new_CQuadraticTimeMMD(EPrimitiveType g)
Definition: class_list.cpp:941
static SHOGUN_BASIC_CLASS CSGObject * __new_CGradientResult(EPrimitiveType g)
Definition: class_list.cpp:583
static SHOGUN_BASIC_CLASS CSGObject * __new_CConjugateGradientSolver(EPrimitiveType g)
Definition: class_list.cpp:969
Implementation of stratified cross-validation on the base of CSplittingStrategy. Produces subset inde...
static SHOGUN_BASIC_CLASS CSGObject * __new_CPRCEvaluation(EPrimitiveType g)
Definition: class_list.cpp:565
static SHOGUN_BASIC_CLASS CSGObject * __new_CFWSOSVM(EPrimitiveType g)
Definition: class_list.cpp:854
This class implements the Hilbert Schmidtd Independence Criterion based independence test as describe...
Definition: HSIC.h:91
The KL approximation inference method class.
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelStructuredOutputMachine(EPrimitiveType g)
Definition: class_list.cpp:879
static SHOGUN_BASIC_CLASS CSGObject * __new_CCustomMahalanobisDistance(EPrimitiveType g)
Definition: class_list.cpp:628
static SHOGUN_BASIC_CLASS CSGObject * __new_CAveragedPerceptron(EPrimitiveType g)
Class MeanSquaredError used to compute an error of regression model.
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CParseBuffer(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CStatistics(EPrimitiveType g)
Definition: class_list.cpp:981
This class implements the Classification And Regression Trees algorithm by Breiman et al for decision...
Definition: CARTree.h:79
Class that models a Student's-t likelihood.
: Pseudo random number geneartor
Definition: Random.h:34
static SHOGUN_BASIC_CLASS CSGObject * __new_CFFSep(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CGNPPLib(EPrimitiveType g)
Class LibSVR, performs support vector regression using LibSVM.
Definition: LibSVR.h:70
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanShiftDataGenerator(EPrimitiveType g)
Definition: class_list.cpp:646
static SHOGUN_BASIC_CLASS CSGObject * __new_CMeanSquaredError(EPrimitiveType g)
Definition: class_list.cpp:584
UI converter.
Definition: GUIConverter.h:24
static SHOGUN_BASIC_CLASS CSGObject * __new_CSortWordString(EPrimitiveType g)
Definition: class_list.cpp:553
Class StreamingVwFile to read vector-by-vector from Vowpal Wabbit data files. It reads the example an...
This class implements randomized CART algorithm used in the tree growing process of candidate trees i...
Definition: RandomCARTree.h:48
static SHOGUN_BASIC_CLASS CSGObject * __new_CDistanceKernel(EPrimitiveType g)
Definition: class_list.cpp:759
class Bray-Curtis distance
static SHOGUN_BASIC_CLASS CSGObject * __new_CDomainAdaptationSVM(EPrimitiveType g)
Definition: class_list.cpp:594
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraphModel(EPrimitiveType g)
Definition: class_list.cpp:836
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDenseSubSamplesFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomConditionalProbabilityTree(EPrimitiveType g)
Definition: class_list.cpp:804
static SHOGUN_BASIC_CLASS CSGObject * __new_CIntronList(EPrimitiveType g)
Definition: class_list.cpp:840
class LaplacianEigenmaps used to construct embeddings of data using Laplacian Eigenmaps algorithm as ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CPeriodicKernel(EPrimitiveType g)
Definition: class_list.cpp:711
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianBlobsDataGenerator(EPrimitiveType g)
Definition: class_list.cpp:647
static SHOGUN_BASIC_CLASS CSGObject * __new_CHessianLocallyLinearEmbedding(EPrimitiveType g)
Definition: class_list.cpp:997
The KL approximation inference method class.
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLRegression(EPrimitiveType g)
Definition: class_list.cpp:928
static SHOGUN_BASIC_CLASS CSGObject * __new_CAutoencoder(EPrimitiveType g)
Definition: class_list.cpp:693
static SHOGUN_BASIC_CLASS CSGObject * __new_CLBPPyrDotFeatures(EPrimitiveType g)
Definition: class_list.cpp:653
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogitLikelihood(EPrimitiveType g)
Definition: class_list.cpp:894
The class DummyFeatures implements features that only know the number of feature objects (but don't a...
Definition: DummyFeatures.h:25
Features that compute the Weighted Degreee Kernel feature space explicitly.
Definition: SNPFeatures.h:29
Class Perceptron implements the standard linear (online) perceptron.
Definition: Perceptron.h:31
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelLocallyLinearEmbedding(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CC45ClassifierTree(EPrimitiveType g)
Definition: class_list.cpp:811
ScatterSVM - Multiclass SVM.
Definition: ScatterSVM.h:52
File based string features.
static SHOGUN_BASIC_CLASS CSGObject * __new_CKRRNystrom(EPrimitiveType g)
Definition: class_list.cpp:923
Represents an input layer. The layer can be either connected to all the input features that a network...
Neural layer with linear neurons, with an identity activation function. can be used as a hidden layer...
CSquaredLoss implements the squared loss function.
Definition: SquaredLoss.h:29
static SHOGUN_BASIC_CLASS CSGObject * __new_CLBFGSMinimizer(EPrimitiveType g)
Definition: class_list.cpp:827
Neural layer with linear neurons, with a logistic activation function. can be used as a hidden layer ...
class ErrorRateMeasure used to measure error rate of 2-class classifier.
Class GaussianNaiveBayes, a Gaussian Naive Bayes classifier.
SqrtDiagKernelNormalizer divides by the Square Root of the product of the diagonal elements...
static SHOGUN_BASIC_CLASS CSGObject * __new_CTime(EPrimitiveType g)
Definition: class_list.cpp:946
static SHOGUN_BASIC_CLASS CSGObject * __new_CJobResult(EPrimitiveType g)
Definition: class_list.cpp:945
static SHOGUN_BASIC_CLASS CSGObject * __new_CPolyFeatures(EPrimitiveType g)
Definition: class_list.cpp:654
Preprocessor NormOne, normalizes vectors to have norm 1.
Definition: NormOne.h:34
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorGraphFeatures(EPrimitiveType g)
Definition: class_list.cpp:664
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIHMM(EPrimitiveType g)
Definition: class_list.cpp:909
static SHOGUN_BASIC_CLASS CSGObject * __new_CHierarchical(EPrimitiveType g)
Definition: class_list.cpp:617
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUITime(EPrimitiveType g)
Definition: class_list.cpp:908
Model selection class which searches for the best model by a random search. See CModelSelection for d...
static SHOGUN_BASIC_CLASS CSGObject * __new_CShareBoost(EPrimitiveType g)
Definition: class_list.cpp:782
Class implementing a purely online version of CLibLinear, using the L2R_L1LOSS_SVC_DUAL solver only...
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingFileFromFeatures(EPrimitiveType g)
Definition: class_list.cpp:672
Dense version of the well-known Gaussian probability distribution, defined as .
Preprocessor KernelPCA performs kernel principal component analysis.
Definition: KernelPCA.h:35
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwRegressor(EPrimitiveType g)
Main component in convolutional neural networks
static SHOGUN_BASIC_CLASS CSGObject * __new_CTStudentKernel(EPrimitiveType g)
Definition: class_list.cpp:720
The Isomap class is used to embed data using Isomap algorithm as described in:
Definition: Isomap.h:58
class ID3ClassifierTree, implements classifier tree for discrete feature values using the ID3 algorit...
static SHOGUN_BASIC_CLASS CSGObject * __new_CIsomap(EPrimitiveType g)
Class of the Expectation Propagation (EP) posterior approximation inference method.
The class CDelimiterTokenizer is used to tokenize a SGVector into tokens using custom chars as ...
read sparse real valued features in svm light format e.g. -1 1:10.0 2:100.2 1000:1.3 with -1 == (optional) label and dim 1 - value 10.0 dim 2 - value 100.2 dim 1000 - value 1.3
Definition: LibSVMFile.h:34
static SHOGUN_BASIC_CLASS CSGObject * __new_CSGDQN(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CPlif(EPrimitiveType g)
Definition: class_list.cpp:861
static SHOGUN_BASIC_CLASS CSGObject * __new_CHistogramWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:735
Power kernel.
Definition: PowerKernel.h:35
class SGDQN
Definition: SGDQN.h:36
static SHOGUN_BASIC_CLASS CSGObject * __new_CTOPFeatures(EPrimitiveType g)
Definition: class_list.cpp:655
Container class that returns results from GradientEvaluation. It contains the function value as well ...
Class CFactorGraph a factor graph is a structured input in general.
Definition: FactorGraph.h:27
static SHOGUN_BASIC_CLASS CSGObject * __new_CTableFactorType(EPrimitiveType g)
Definition: class_list.cpp:859
Class that represents a sparse-matrix linear operator. It computes matrix-vector product in its appl...
Class for outputting cross-validation intermediate results to the standard output. Simply prints all messages it gets.
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultilabelCLRModel(EPrimitiveType g)
Definition: class_list.cpp:857
static SHOGUN_BASIC_CLASS CSGObject * __new_CSpectrumRBFKernel(EPrimitiveType g)
Definition: class_list.cpp:751
Normalize the kernel by either a constant or the average value of the diagonal elements (depending on...
static SHOGUN_BASIC_CLASS CSGObject * __new_CThresholdRejectionStrategy(EPrimitiveType g)
Definition: class_list.cpp:800
static SHOGUN_BASIC_CLASS CSGObject * __new_CHMM(EPrimitiveType g)
Definition: class_list.cpp:822
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionOpt(EPrimitiveType g)
Definition: class_list.cpp:936
Template class Cache implements a simple cache.
static SHOGUN_BASIC_CLASS CSGObject * __new_CLabelsFactory(EPrimitiveType g)
Definition: class_list.cpp:769
Class GMNPSVM implements a one vs. rest MultiClass SVM.
Definition: GMNPSVM.h:26
Preprocessor HomogeneousKernelMap performs homogeneous kernel maps as described in.
static SHOGUN_BASIC_CLASS CSGObject * __new_CVarianceKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:700
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianARDSparseKernel(EPrimitiveType g)
Definition: class_list.cpp:886
Class that provides a sample method for Gaussian samples.
Definition: NormalSampler.h:22
static SHOGUN_BASIC_CLASS CSGObject * __new_CData(EPrimitiveType g)
Definition: class_list.cpp:950
class SubsequenceStringKernel that implements String Subsequence Kernel (SSK) discussed by Lodhi et...
Class ListElement, defines how an element of the the list looks like.
Definition: List.h:25
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultilabelModel(EPrimitiveType g)
Definition: class_list.cpp:830
Class PRCEvaluation used to evaluate PRC (Precision Recall Curve) and an area under PRC curve (auPRC)...
Definition: PRCEvaluation.h:27
static SHOGUN_BASIC_CLASS CSGObject * __new_CHistogram(EPrimitiveType g)
Definition: class_list.cpp:820
#define PT_NOT_GENERIC
Definition: DataType.h:21
Class CMatrixFeatures used to represent data whose feature vectors are better represented with matric...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSingleFITCLaplaceNewtonOptimizer(EPrimitiveType g)
Definition: class_list.cpp:890
static SHOGUN_BASIC_CLASS CSGObject * __new_CHashedWDFeaturesTransposed(EPrimitiveType g)
Definition: class_list.cpp:658
Class CMultilabelAccuracy used to compute accuracy of multilabel classification.
class OnlineSVMSGD
Definition: OnlineSVMSGD.h:35
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVM(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianLikelihood(EPrimitiveType g)
Definition: class_list.cpp:887
Class CSquaredHingeLoss implements a squared hinge loss function.
Class Jedi.
Definition: JediDiag.h:33
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogitVGPiecewiseBoundLikelihood(EPrimitiveType g)
Definition: class_list.cpp:895
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelMaskPairNormalizer(EPrimitiveType g)
Definition: class_list.cpp:600
static SHOGUN_BASIC_CLASS CSGObject * __new_CCombinedFeatures(EPrimitiveType g)
Definition: class_list.cpp:649
The Fully Independent Conditional Training inference method class.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPNorm(EPrimitiveType g)
Definition: class_list.cpp:548
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingVwCacheFile(EPrimitiveType g)
Definition: class_list.cpp:671
static SHOGUN_BASIC_CLASS CSGObject * __new_CCrossValidationMulticlassStorage(EPrimitiveType g)
Definition: class_list.cpp:587
class CStructuredAccuracy used to compute accuracy of structured classification
static SHOGUN_BASIC_CLASS CSGObject * __new_CJensenMetric(EPrimitiveType g)
Definition: class_list.cpp:631
static SHOGUN_BASIC_CLASS CSGObject * __new_CSigmoidKernel(EPrimitiveType g)
Definition: class_list.cpp:760
The class RealFileFeatures implements a dense double-precision floating point matrix from a file...
static SHOGUN_BASIC_CLASS CSGObject * __new_CFeatureBlockLogisticRegression(EPrimitiveType g)
Class CLogLossMargin implements a margin-based log-likelihood loss function.
Definition: LogLossMargin.h:24
class TaskTree used to represent a tree of tasks. Tree is constructed via task with subtasks (and sub...
Definition: TaskTree.h:27
static SHOGUN_BASIC_CLASS CSGObject * __new_CProbingSampler(EPrimitiveType g)
Definition: class_list.cpp:971
class MahalanobisDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CMinkowskiMetric(EPrimitiveType g)
Definition: class_list.cpp:624
Class evaluates a machine using its associated differentiable function for the function value and its...
This class implements the random fourier features for the DotFeatures framework. Basically upon the o...
Wave kernel.
Definition: WaveKernel.h:35
class PluginEstimate
Class CTableFactorType the way that store assignments of variables and energies in a table or a multi...
Definition: FactorType.h:122
static SHOGUN_BASIC_CLASS CSGObject * __new_CListElement(EPrimitiveType g)
Definition: class_list.cpp:955
Preprocessor PCA performs principial component analysis on input feature vectors/matrices. When the init method in PCA is called with proper feature matrix X (with say N number of vectors and D feature dimension), a transformation matrix is computed and stored internally. This transformation matrix is then used to transform all D-dimensional feature vectors or feature matrices (with D feature dimensions) supplied via apply_to_feature_matrix or apply_to_feature_vector methods. This tranformation outputs the T-Dimensional approximation of all these input vectors and matrices (where T<=min(D,N)). The transformation matrix is essentially a DxT matrix, the columns of which correspond to the eigenvectors of the covariance matrix(XX') having top T eigenvalues.
Definition: PCA.h:112
Kernel selection class that selects the single kernel that maximises the MMD statistic. Works for CQuadraticTimeMMD and CLinearTimeMMD. This leads to a heuristic that is better than the standard median heuristic for Gaussian kernels. However, it comes with no guarantees.
static SHOGUN_BASIC_CLASS CSGObject * __new_CLocallyLinearEmbedding(EPrimitiveType g)
Definition: class_list.cpp:998
static SHOGUN_BASIC_CLASS CSGObject * __new_CRationalApproximationIndividualJob(EPrimitiveType g)
Definition: class_list.cpp:973
static SHOGUN_BASIC_CLASS CSGObject * __new_CKDTree(EPrimitiveType g)
Definition: class_list.cpp:810
Class Signal implements signal handling to e.g. allow ctrl+c to cancel a long running process...
Definition: Signal.h:48
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingFileFromSparseFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskTraceLogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:605
class SVMlight
Definition: SVMLight.h:225
static SHOGUN_BASIC_CLASS CSGObject * __new_CDeepBeliefNetwork(EPrimitiveType g)
Definition: class_list.cpp:692
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStringFileFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CSpecificityMeasure(EPrimitiveType g)
Definition: class_list.cpp:579
static SHOGUN_BASIC_CLASS CSGObject * __new_CBalancedConditionalProbabilityTree(EPrimitiveType g)
Definition: class_list.cpp:809
Class KRRNystrom implements the Nyström method for kernel ridge regression, using a low-rank approxim...
Definition: KRRNystrom.h:64
Dynamic Programming Class.
Definition: DynProg.h:74
This class implements the linear time Maximum Mean Statistic as described in [1] for streaming data (...
Definition: LinearTimeMMD.h:66
Features that allow stacking of a number of DotFeatures.
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactor(EPrimitiveType g)
Definition: class_list.cpp:856
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CVectorResult(EPrimitiveType g)
Class CVowpalWabbit is the implementation of the online learning algorithm used in Vowpal Wabbit...
Definition: VowpalWabbit.h:40
static SHOGUN_BASIC_CLASS CSGObject * __new_CNormOne(EPrimitiveType g)
Definition: class_list.cpp:547
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVM(EPrimitiveType g)
A generic Support Vector Machine Interface.
Definition: SVM.h:49
static SHOGUN_BASIC_CLASS CSGObject * __new_CLanczosEigenSolver(EPrimitiveType g)
Definition: class_list.cpp:967
UI features.
Definition: GUIFeatures.h:36
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelMulticlassMachine(EPrimitiveType g)
Definition: class_list.cpp:876
Class which collects generic mathematical functions.
Definition: Math.h:134
static SHOGUN_BASIC_CLASS CSGObject * __new_CSubsequenceStringKernel(EPrimitiveType g)
Definition: class_list.cpp:749
static SHOGUN_BASIC_CLASS CSGObject * __new_CMAPInference(EPrimitiveType g)
Definition: class_list.cpp:850
Features that compute the Weighted Degreee Kernel feature space explicitly.
the LaRank multiclass SVM machine This implementation uses LaRank algorithm from Bordes, Antoine, et al., 2007. "Solving multiclass support vector machines with LaRank."
Definition: LaRank.h:318
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CStreamingDenseFeatures(EPrimitiveType g)
class GeodesicMetric
Implements MMD kernel selection for a number of Gaussian baseline kernels via selecting the one with ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CNode(EPrimitiveType g)
Definition: class_list.cpp:610
static SHOGUN_BASIC_CLASS CSGObject * __new_CStreamingVwFile(EPrimitiveType g)
Definition: class_list.cpp:673
static SHOGUN_BASIC_CLASS CSGObject * __new_CPrecisionMeasure(EPrimitiveType g)
Definition: class_list.cpp:578
the class WaveletKernel
Definition: WaveletKernel.h:37
static SHOGUN_BASIC_CLASS CSGObject * __new_CHashedMultilabelModel(EPrimitiveType g)
Definition: class_list.cpp:852
Binary Labels for binary classification.
Definition: BinaryLabels.h:37
Preprocessor CRandomFourierGaussPreproc implements Random Fourier Features for the Gauss kernel a la ...
Cauchy kernel.
Definition: CauchyKernel.h:35
The HistogramIntersection kernel operating on realvalued vectors computes the histogram intersection ...
Implementation of normal cross-validation on the base of CSplittingStrategy. Produces subset index se...
Preprocessor that decompresses compressed strings.
CHingeLoss implements the hinge loss function.
Definition: HingeLoss.h:29
static SHOGUN_BASIC_CLASS CSGObject * __new_CHMSVMModel(EPrimitiveType g)
Definition: class_list.cpp:853
static SHOGUN_BASIC_CLASS CSGObject * __new_CPerceptron(EPrimitiveType g)
CHuberLoss implements the Huber loss function. It behaves like SquaredLoss function at values below H...
Definition: HuberLoss.h:44
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLClassification(EPrimitiveType g)
domain adaptation multiclass LibLinear wrapper Source domain is assumed to b
static SHOGUN_BASIC_CLASS CSGObject * __new_CKMeansBase(EPrimitiveType g)
Definition: class_list.cpp:618
Simple wrapper class that allows to store any Shogun SGMatrix in a CSGObject, and therefore to mak...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSumOne(EPrimitiveType g)
Definition: class_list.cpp:555
static SHOGUN_BASIC_CLASS CSGObject * __new_CList(EPrimitiveType g)
Definition: class_list.cpp:956
: Bagging algorithm i.e. bootstrap aggregating
static SHOGUN_BASIC_CLASS CSGObject * __new_CLinearLocalTangentSpaceAlignment(EPrimitiveType g)
NewtonSVM, In this Implementation linear SVM is trained in its primal form using Newton-like iteratio...
Definition: NewtonSVM.h:29
static SHOGUN_BASIC_CLASS CSGObject * __new_CSubsetStack(EPrimitiveType g)
Definition: class_list.cpp:661
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCDiscriminantEncoder(EPrimitiveType g)
Definition: class_list.cpp:791
class GNPPSVM
Definition: GNPPSVM.h:21
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CHashedSparseFeatures(EPrimitiveType g)
implement DotFeatures for the polynomial kernel
Definition: PolyFeatures.h:27
clustering (normalized) mutual information
The Custom Distance allows for custom user provided distance matrices.
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianProcessRegression(EPrimitiveType g)
Definition: class_list.cpp:924
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassModel(EPrimitiveType g)
Definition: class_list.cpp:843
Class that provides a solve method for real sparse-matrix linear systems using LLT.
class TreeMachine, a base class for tree based multiclass classifiers. This class is derived from CBa...
Definition: TreeMachine.h:48
static SHOGUN_BASIC_CLASS CSGObject * __new_CMatchWordStringKernel(EPrimitiveType g)
Definition: class_list.cpp:754
multiclass one vs rest strategy used to train generic multiclass machines for K-class problems with b...
The Weighted Degree Position String kernel (Weighted Degree kernel with shifts).
static SHOGUN_BASIC_CLASS CSGObject * __new_CKernelMeanMatching(EPrimitiveType g)
Definition: class_list.cpp:935
static SHOGUN_BASIC_CLASS CSGObject * __new_CMKLOneClass(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CWrappedObjectArray(EPrimitiveType g)
Definition: class_list.cpp:960
implement DotFeatures for the polynomial kernel
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassAccuracy(EPrimitiveType g)
Definition: class_list.cpp:585
Neural layer with rectified linear neurons.
A class to construct neural layers.
Definition: NeuralLayers.h:55
static SHOGUN_BASIC_CLASS CSGObject * __new_CRandomForest(EPrimitiveType g)
Definition: class_list.cpp:868
class CanberraMetric
static SHOGUN_BASIC_CLASS CSGObject * __new_CAccuracyMeasure(EPrimitiveType g)
Definition: class_list.cpp:571
Preprocessor SortWordString, sorts the indivual strings in ascending order.
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CSparseMatrixOperator(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CMCLDA(EPrimitiveType g)
Definition: class_list.cpp:799
class CanberraWordDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CKLCovarianceInferenceMethod(EPrimitiveType g)
Definition: class_list.cpp:885
This class implements streaming features with sparse feature vectors. The vector is represented as an...
static SHOGUN_BASIC_CLASS CSGObject * __new_CGradientEvaluation(EPrimitiveType g)
Definition: class_list.cpp:592
static SHOGUN_BASIC_CLASS CSGObject * __new_CGUIClassifier(EPrimitiveType g)
Definition: class_list.cpp:911
static SHOGUN_BASIC_CLASS CSGObject * __new_CClusteringAccuracy(EPrimitiveType g)
Definition: class_list.cpp:566
Implements Local Binary Patterns with Scale Pyramids as dot features for a set of images...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSequenceLabels(EPrimitiveType g)
Definition: class_list.cpp:845
UI distance.
Definition: GUIDistance.h:25
Circular kernel.
The FITC approximation inference method class for regression and binary Classification. Note that the number of inducing points (m) is usually far less than the number of input points (n). (the time complexity is computed based on the assumption m < n)
Base class that stores the result of an independent job when the result is a vector.
Multilabel Labels for multi-label classification.
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CSparseFeatures(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CRationalApproximationCGMJob(EPrimitiveType g)
Definition: class_list.cpp:974
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentSOSVM(EPrimitiveType g)
Definition: class_list.cpp:962
#define SHOGUN_TEMPLATE_CLASS
Definition: class_list.cpp:545
static SHOGUN_BASIC_CLASS CSGObject * __new_CVwNativeCacheReader(EPrimitiveType g)
This class can be used to provide on-the-fly vectorization of a document collection. Like in the standard Bag-of-Words representation, this class considers each document as a collection of tokens, which are then hashed into a new feature space of a specified dimension. This class is very flexible and allows the user to specify the tokenizer used to tokenize each document, specify whether the results should be normalized with regards to the sqrt of the document size, as well as to specify whether he wants to combine different tokens. The latter implements a k-skip n-grams approach, meaning that you can combine up to n tokens, while skipping up to k. Eg. for the tokens ["a", "b", "c", "d"], with n_grams = 2 and skips = 2, one would get the following combinations : ["a", "ab", "ac" (skipped 1), "ad" (skipped 2), "b", "bc", "bd" (skipped 1), "c", "cd", "d"].
static SHOGUN_TEMPLATE_CLASS CSGObject * __new_CDecompressString(EPrimitiveType g)
This class implements the Random Forests algorithm. In Random Forests algorithm, we train a number of...
Definition: RandomForest.h:46
The SingleLaplace approximation inference method class for regression and binary Classification.
static SHOGUN_BASIC_CLASS CSGObject * __new_CHash(EPrimitiveType g)
Definition: class_list.cpp:943
abstract class for latent labels As latent labels always depends on the given application, this class only defines the API that the user has to implement for latent labels.
Definition: LatentLabels.h:26
The LocalAlignmentString kernel compares two sequences through all possible local alignments between ...
static SHOGUN_BASIC_CLASS CSGObject * __new_CECOCOVREncoder(EPrimitiveType g)
Definition: class_list.cpp:785
static SHOGUN_BASIC_CLASS CSGObject * __new_CPowerKernel(EPrimitiveType g)
Definition: class_list.cpp:714
static SHOGUN_BASIC_CLASS CSGObject * __new_CVowpalWabbit(EPrimitiveType g)
Class that contains methods for computing Jacobi elliptic functions related to complex analysis...
Class CMulticlassSOLabels to be used in the application of Structured Output (SO) learning to multicl...
class FFSep
Definition: FFSep.h:35
The class CombinedFeatures is used to combine a number of of feature objects into a single CombinedFe...
static SHOGUN_BASIC_CLASS CSGObject * __new_CConstKernel(EPrimitiveType g)
Definition: class_list.cpp:726
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndexBlockTree(EPrimitiveType g)
Definition: class_list.cpp:949
Implementaion of rational approximation of a operator-function times vector where the operator functi...
Class CHierarchicalMultilabelModel represents application specific model and contains application dep...
Class CStreamingFileFromSparseFeatures is derived from CStreamingFile and provides an input source fo...
static SHOGUN_BASIC_CLASS CSGObject * __new_CDirectEigenSolver(EPrimitiveType g)
Definition: class_list.cpp:966
class CManifoldSculpting used to embed data using manifold sculpting embedding algorithm.
class PlifArray
Definition: PlifArray.h:25
Gaussian Mixture Model interface.
Definition: GMM.h:38
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVR(EPrimitiveType g)
Definition: class_list.cpp:927
static SHOGUN_BASIC_CLASS CSGObject * __new_CTron(EPrimitiveType g)
Definition: class_list.cpp:828
Log kernel.
Definition: LogKernel.h:35
Class CMulticlassModel that represents the application specific model and contains the application de...
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianProcessClassification(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogLossMargin(EPrimitiveType g)
Hidden Markov Model.
Definition: HMM.h:369
This class provides an interface to the LibLinear library for large- scale linear learning focusing o...
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassOneVsOneStrategy(EPrimitiveType g)
Definition: class_list.cpp:784
static SHOGUN_BASIC_CLASS CSGObject * __new_CRBM(EPrimitiveType g)
Definition: class_list.cpp:688
static SHOGUN_BASIC_CLASS CSGObject * __new_CManhattanWordDistance(EPrimitiveType g)
Definition: class_list.cpp:638
Class UAIFILE used to read data from UAI files. See http://graphmod.ics.uci.edu/uai08/FileFormat for ...
Definition: UAIFile.h:27
Class CFactor A factor is defined on a clique in the factor graph. Each factor can have its own data...
Definition: Factor.h:89
static SHOGUN_BASIC_CLASS CSGObject * __new_CGeodesicMetric(EPrimitiveType g)
Definition: class_list.cpp:619
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskKernelNormalizer(EPrimitiveType g)
Definition: class_list.cpp:598
Base class of the components of StructuredLabels.
class EuclideanDistance
static SHOGUN_BASIC_CLASS CSGObject * __new_CGMNPLib(EPrimitiveType g)
Definition: class_list.cpp:817
static SHOGUN_BASIC_CLASS CSGObject * __new_CHammingWordDistance(EPrimitiveType g)
Definition: class_list.cpp:626
CLogLoss implements the logarithmic loss function.
Definition: LogLoss.h:24
VarianceKernelNormalizer divides by the ``variance''.
static SHOGUN_BASIC_CLASS CSGObject * __new_CPlifMatrix(EPrimitiveType g)
Definition: class_list.cpp:842
Collection of Hashing Functions.
Definition: Hash.h:50
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMOcas(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CMath(EPrimitiveType g)
Definition: class_list.cpp:985
The class LinearHMM is for learning Higher Order Markov chains.
Definition: LinearHMM.h:41
static SHOGUN_BASIC_CLASS CSGObject * __new_CSVMLight(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CNLOPTMinimizer(EPrimitiveType g)
Definition: class_list.cpp:829
Class List implements a doubly connected list for low-level-objects.
Definition: List.h:84
static SHOGUN_BASIC_CLASS CSGObject * __new_CMMDKernelSelectionCombOpt(EPrimitiveType g)
Definition: class_list.cpp:940
static SHOGUN_BASIC_CLASS CSGObject * __new_CFactorAnalysis(EPrimitiveType g)
The class FKFeatures implements Fischer kernel features obtained from two Hidden Markov models...
Definition: FKFeatures.h:43
static SHOGUN_BASIC_CLASS CSGObject * __new_CMultitaskL12LogisticRegression(EPrimitiveType g)
Definition: class_list.cpp:602
The LocalityImprovedString kernel is inspired by the polynomial kernel. Comparing neighboring charact...
store plif arrays for all transitions in the model
Definition: PlifMatrix.h:31
Class that models Probit likelihood.
static SHOGUN_BASIC_CLASS CSGObject * __new_CIndexFeatures(EPrimitiveType g)
Definition: class_list.cpp:650
static SHOGUN_BASIC_CLASS CSGObject * __new_CChebyshewMetric(EPrimitiveType g)
Definition: class_list.cpp:636
Preprocessor SumOne, normalizes vectors to have sum 1.
Definition: SumOne.h:32
This is the generic class for mixture models. The final distribution is a mixture of various simple d...
Definition: MixtureModel.h:44
static SHOGUN_BASIC_CLASS CSGObject * __new_CStochasticGBMachine(EPrimitiveType g)
Definition: class_list.cpp:871
static SHOGUN_BASIC_CLASS CSGObject * __new_CWeightedMajorityVote(EPrimitiveType g)
Definition: class_list.cpp:929
static SHOGUN_BASIC_CLASS CSGObject * __new_CLatentLabels(EPrimitiveType g)
Definition: class_list.cpp:773
The zero mean function class.
Definition: ZeroMean.h:46
Class CVwNativeCacheWriter writes a cache exactly as that which would be produced by VW's default cac...
static SHOGUN_BASIC_CLASS CSGObject * __new_CBaggingMachine(EPrimitiveType g)
Definition: class_list.cpp:874
Simple wrapper class that allows to store any Shogun SGVector in a CSGObject, and therefore to mak...
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogPlusOne(EPrimitiveType g)
Definition: class_list.cpp:561
static SHOGUN_BASIC_CLASS CSGObject * __new_COnlineLinearMachine(EPrimitiveType g)
Definition: class_list.cpp:865
static SHOGUN_BASIC_CLASS CSGObject * __new_CIntegration(EPrimitiveType g)
Definition: class_list.cpp:984
static SHOGUN_BASIC_CLASS CSGObject * __new_CMulticlassSOLabels(EPrimitiveType g)
Definition: class_list.cpp:847
static SHOGUN_BASIC_CLASS CSGObject * __new_CLibSVMOneClass(EPrimitiveType g)
static SHOGUN_BASIC_CLASS CSGObject * __new_CLogRationalApproximationIndividual(EPrimitiveType g)
Definition: class_list.cpp:978
CSmoothHingeLoss implements the smooth hinge loss function.
The MultitaskKernel allows Multitask Learning via a modified kernel function based on taxonomy...
static SHOGUN_BASIC_CLASS CSGObject * __new_CSNPFeatures(EPrimitiveType g)
Definition: class_list.cpp:651
static SHOGUN_BASIC_CLASS CSGObject * __new_CDataGenerator(EPrimitiveType g)
Definition: class_list.cpp:639
class SOBI
Definition: SOBI.h:36
static SHOGUN_BASIC_CLASS CSGObject * __new_CMixtureModel(EPrimitiveType g)
Definition: class_list.cpp:823
static SHOGUN_BASIC_CLASS CSGObject * __new_CGaussianARDKernel(EPrimitiveType g)
Definition: class_list.cpp:730

SHOGUN Machine Learning Toolbox - Documentation