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CrossValidationMKLStorage.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) 2012 Sergey Lisitsyn
8  * Written (W) 2012 Heiko Strathmann
9  */
10 
15 
16 using namespace shogun;
17 
19  CMachine* machine, const char* prefix)
20 {
21  REQUIRE(machine, "%s::update_trained_machine(): Provided Machine is NULL!\n",
22  get_name());
23 
24  CMKL* mkl=dynamic_cast<CMKL*>(machine);
25  CMKLMulticlass* mkl_multiclass=dynamic_cast<CMKLMulticlass*>(machine);
26  REQUIRE(mkl || mkl_multiclass, "%s::update_trained_machine(): This method is only usable "
27  "with CMKL derived machines. This one is \"%s\"\n", get_name(),
28  machine->get_name());
29 
30  CKernel* kernel = NULL;
31  if (mkl)
32  kernel = mkl->get_kernel();
33  else
34  kernel = mkl_multiclass->get_kernel();
35 
36  REQUIRE(kernel, "%s::update_trained_machine(): No kernel assigned to "
37  "machine of type \"%s\"\n", get_name(), machine->get_name());
38 
39  CCombinedKernel* combined_kernel=dynamic_cast<CCombinedKernel*>(kernel);
40  REQUIRE(combined_kernel, "%s::update_trained_machine(): This method is only"
41  " usable with CCombinedKernel on machines. This one is \"s\"\n",
42  get_name(), kernel->get_name());
43 
44  SGVector<float64_t> w=combined_kernel->get_subkernel_weights();
45 
46  /* evtl re-allocate memory (different number of runs from evaluation before) */
47  if (m_mkl_weights.num_rows!=w.vlen ||
49  {
51  {
52  SG_DEBUG("deleting memory for mkl weight matrix\n")
54  }
55  }
56 
57  /* evtl allocate memory (first call) */
58  if (!m_mkl_weights.matrix)
59  {
60  SG_DEBUG("allocating memory for mkl weight matrix\n")
62  }
63 
64  /* put current mkl weights into matrix, copy memory vector wise to make
65  * things fast. Compute index of address to where vector goes */
66 
67  /* number of runs is w.vlen*m_num_folds shift */
68  index_t run_shift=m_current_run_index*w.vlen*m_num_folds;
69 
70  /* fold shift is m_current_fold_index*w-vlen */
71  index_t fold_shift=m_current_fold_index*w.vlen;
72 
73  /* add both index shifts */
74  index_t first_idx=run_shift+fold_shift;
75  SG_DEBUG("run %d, fold %d, matrix index %d\n",m_current_run_index,
76  m_current_fold_index, first_idx);
77 
78  /* copy memory */
79  memcpy(&m_mkl_weights.matrix[first_idx], w.vector,
80  w.vlen*sizeof(float64_t));
81 
82  SG_UNREF(kernel);
83 }
MKLMulticlass is a class for L1-norm Multiclass MKL.
Definition: MKLMulticlass.h:40
int32_t index_t
Definition: common.h:62
#define REQUIRE(x,...)
Definition: SGIO.h:206
index_t num_cols
Definition: SGMatrix.h:378
virtual const char * get_name() const
Definition: Machine.h:305
index_t num_rows
Definition: SGMatrix.h:376
A generic learning machine interface.
Definition: Machine.h:143
virtual const char * get_name() const
double float64_t
Definition: common.h:50
The Combined kernel is used to combine a number of kernels into a single CombinedKernel object by lin...
Multiple Kernel Learning.
Definition: MKL.h:95
#define SG_UNREF(x)
Definition: SGObject.h:52
#define SG_DEBUG(...)
Definition: SGIO.h:107
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
The Kernel base class.
Definition: Kernel.h:158
virtual void update_trained_machine(CMachine *machine, const char *prefix="")

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