Class C45ClassifierTree implements the C4.5 algorithm for decision tree learning. The algorithm steps are briefy explained below :
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function C4.5 (R: a set of non-categorical attributes, C: the categorical attribute, S: a training set):
returns a decision tree;
begin
If S consists of records all with the same value for the categorical attribute,
return a single node with that value;
If R is empty,
return a single node with as value the most frequent
of the values of the categorical attribute in C;
[note that then there will be errors, that is, records that will be improperly classified];
For each non-categorical attribute NC in R :
If NC is continuous then first convert it to nominal attribute by separating into 2 classes about a threshold
Find Gain of all attributes
Let D be the attribute with largest Gain(D,S) among attributes in R;
Let \({d_j| j=1,2, .., m}\) be the values of attribute D;
Let \({S_j| j=1,2, .., m}\) be the subsets of S consisting respectively of records with value \(d_j\) for attribute D;
Return a tree with root labeled D and arcs labeled \(d_1, d_2, .., d_m\) going respectively to the trees
C4.5(R-{D}, C, \(S_1\)), .., C4.5(R-{D}, C, \(S_m\));
end C4.5;
cf. http://tesis-algoritmo-c45.googlecode.com/files/C45.ppt
在文件 C45ClassifierTree.h 第 75 行定义.
Public 类型 | |
typedef CTreeMachineNode < C45TreeNodeData > | node_t |
typedef CBinaryTreeMachineNode < C45TreeNodeData > | bnode_t |
Public 属性 | |
SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
Parameter * | m_gradient_parameters |
uint32_t | m_hash |
静态 Public 属性 | |
static const float64_t | MISSING =CMath::NOT_A_NUMBER |
Protected 成员函数 | |
virtual bool | train_machine (CFeatures *data=NULL) |
virtual void | store_model_features () |
virtual bool | train_require_labels () const |
virtual void | load_serializable_pre () throw (ShogunException) |
virtual void | load_serializable_post () throw (ShogunException) |
virtual void | save_serializable_pre () throw (ShogunException) |
virtual void | save_serializable_post () throw (ShogunException) |
Protected 属性 | |
CTreeMachineNode < C45TreeNodeData > * | m_root |
CDynamicObjectArray * | m_machines |
float64_t | m_max_train_time |
CLabels * | m_labels |
ESolverType | m_solver_type |
bool | m_store_model_features |
bool | m_data_locked |
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inherited |
bnode_t type- Tree node with max 2 possible children
在文件 TreeMachine.h 第 55 行定义.
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node_t type- Tree node with many possible children
在文件 TreeMachine.h 第 52 行定义.
constructor
在文件 C45ClassifierTree.cpp 第 40 行定义.
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destructor
在文件 C45ClassifierTree.cpp 第 46 行定义.
apply machine to data if data is not specified apply to the current features
data | (test)data to be classified |
在文件 Machine.cpp 第 152 行定义.
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virtualinherited |
apply machine to data in means of binary classification problem
被 CKernelMachine, COnlineLinearMachine, CWDSVMOcas, CNeuralNetwork, CLinearMachine, CGaussianProcessClassification, CDomainAdaptationSVMLinear, CDomainAdaptationSVM, CPluginEstimate , 以及 CBaggingMachine 重载.
在文件 Machine.cpp 第 208 行定义.
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virtualinherited |
apply machine to data in means of latent problem
被 CLinearLatentMachine 重载.
在文件 Machine.cpp 第 232 行定义.
Applies a locked machine on a set of indices. Error if machine is not locked
indices | index vector (of locked features) that is predicted |
在文件 Machine.cpp 第 187 行定义.
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virtualinherited |
applies a locked machine on a set of indices for binary problems
被 CKernelMachine , 以及 CMultitaskLinearMachine 重载.
在文件 Machine.cpp 第 238 行定义.
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virtualinherited |
applies a locked machine on a set of indices for latent problems
在文件 Machine.cpp 第 266 行定义.
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virtualinherited |
applies a locked machine on a set of indices for multiclass problems
在文件 Machine.cpp 第 252 行定义.
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virtualinherited |
applies a locked machine on a set of indices for regression problems
被 CKernelMachine 重载.
在文件 Machine.cpp 第 245 行定义.
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applies a locked machine on a set of indices for structured problems
在文件 Machine.cpp 第 259 行定义.
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virtual |
classify data using C4.5 Tree
data | data to be classified |
重载 CMachine .
在文件 C45ClassifierTree.cpp 第 50 行定义.
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virtualinherited |
applies to one vector
被 CKernelMachine, CRelaxedTree, CWDSVMOcas, COnlineLinearMachine, CLinearMachine, CMultitaskLinearMachine, CMulticlassMachine, CKNN, CDistanceMachine, CMultitaskLogisticRegression, CMultitaskLeastSquaresRegression, CScatterSVM, CGaussianNaiveBayes, CPluginEstimate , 以及 CFeatureBlockLogisticRegression 重载.
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apply machine to data in means of regression problem
被 CKernelMachine, CWDSVMOcas, COnlineLinearMachine, CNeuralNetwork, CCHAIDTree, CStochasticGBMachine, CCARTree, CLinearMachine, CGaussianProcessRegression , 以及 CBaggingMachine 重载.
在文件 Machine.cpp 第 214 行定义.
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apply machine to data in means of SO classification problem
被 CLinearStructuredOutputMachine 重载.
在文件 Machine.cpp 第 226 行定义.
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Builds a dictionary of all parameters in SGObject as well of those of SGObjects that are parameters of this object. Dictionary maps parameters to the objects that own them.
dict | dictionary of parameters to be built. |
在文件 SGObject.cpp 第 597 行定义.
void clear_feature_types | ( | ) |
clear feature types of various features
在文件 C45ClassifierTree.cpp 第 103 行定义.
void clear_weights | ( | ) |
clear weights of data points
在文件 C45ClassifierTree.cpp 第 86 行定义.
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virtualinherited |
Creates a clone of the current object. This is done via recursively traversing all parameters, which corresponds to a deep copy. Calling equals on the cloned object always returns true although none of the memory of both objects overlaps.
在文件 SGObject.cpp 第 714 行定义.
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Locks the machine on given labels and data. After this call, only train_locked and apply_locked may be called
Only possible if supports_locking() returns true
labs | labels used for locking |
features | features used for locking |
被 CKernelMachine 重载.
在文件 Machine.cpp 第 112 行定义.
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virtualinherited |
Unlocks a locked machine and restores previous state
被 CKernelMachine 重载.
在文件 Machine.cpp 第 143 行定义.
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virtualinherited |
A deep copy. All the instance variables will also be copied.
在文件 SGObject.cpp 第 198 行定义.
Recursively compares the current SGObject to another one. Compares all registered numerical parameters, recursion upon complex (SGObject) parameters. Does not compare pointers!
May be overwritten but please do with care! Should not be necessary in most cases.
other | object to compare with |
accuracy | accuracy to use for comparison (optional) |
tolerant | allows linient check on float equality (within accuracy) |
在文件 SGObject.cpp 第 618 行定义.
certainty of classification done by apply_multiclass. For each data point reaching a leaf node, it computes the ratio of weight of training data with same predicted label that reached that leaf node over the total weight of all training data points that reached the same leaf node
在文件 C45ClassifierTree.cpp 第 70 行定义.
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virtualinherited |
get classifier type
被 CLaRank, CSVMLight, CDualLibQPBMSOSVM, CNeuralNetwork, CCCSOSVM, CLeastAngleRegression, CLDA, CKernelRidgeRegression, CLibLinearMTL, CBaggingMachine, CLibLinear, CGaussianProcessClassification, CKMeans, CLibSVR, CQDA, CGaussianNaiveBayes, CSVRLight, CMCLDA, CLinearRidgeRegression, CKNN, CScatterSVM, CGaussianProcessRegression, CSGDQN, CSVMSGD, CSVMOcas, COnlineSVMSGD, CLeastSquaresRegression, CMKLRegression, CDomainAdaptationSVMLinear, CMKLMulticlass, CWDSVMOcas, CHierarchical, CMKLOneClass, CLibSVM, CStochasticSOSVM, CMKLClassification, CDomainAdaptationSVM, CLPBoost, CPerceptron, CAveragedPerceptron, CFWSOSVM, CNewtonSVM, CLPM, CGMNPSVM, CSVMLightOneClass, CSVMLin, CMulticlassLibSVM, CLibSVMOneClass, CMPDSVM, CGPBTSVM, CGNPPSVM , 以及 CCPLEXSVM 重载.
在文件 Machine.cpp 第 92 行定义.
SGVector< bool > get_feature_types | ( | ) | const |
set feature types of various features
在文件 C45ClassifierTree.cpp 第 98 行定义.
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get problem type
重载 CMachine .
被 CCHAIDTree , 以及 CCARTree 重载.
在文件 BaseMulticlassMachine.cpp 第 32 行定义.
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在文件 SGObject.cpp 第 498 行定义.
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Returns description of a given parameter string, if it exists. SG_ERROR otherwise
param_name | name of the parameter |
在文件 SGObject.cpp 第 522 行定义.
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Returns index of model selection parameter with provided index
param_name | name of model selection parameter |
在文件 SGObject.cpp 第 535 行定义.
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get name
重载 CTreeMachine< C45TreeNodeData > .
在文件 C45ClassifierTree.h 第 87 行定义.
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inherited |
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inherited |
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If the SGSerializable is a class template then TRUE will be returned and GENERIC is set to the type of the generic.
generic | set to the type of the generic if returning TRUE |
在文件 SGObject.cpp 第 296 行定义.
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virtualinherited |
check whether the labels is valid.
lab | the labels being checked, guaranteed to be non-NULL |
重载 CMachine .
被 CCARTree , 以及 CCHAIDTree 重载.
在文件 BaseMulticlassMachine.cpp 第 37 行定义.
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virtualinherited |
Load this object from file. If it will fail (returning FALSE) then this object will contain inconsistent data and should not be used!
file | where to load from |
prefix | prefix for members |
在文件 SGObject.cpp 第 369 行定义.
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protectedvirtualinherited |
Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_POST is called.
ShogunException | will be thrown if an error occurs. |
被 CKernel, CWeightedDegreePositionStringKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel , 以及 CExponentialKernel 重载.
在文件 SGObject.cpp 第 426 行定义.
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protectedvirtualinherited |
Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_PRE is called.
ShogunException | will be thrown if an error occurs. |
被 CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.
在文件 SGObject.cpp 第 421 行定义.
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virtualinherited |
在文件 SGObject.cpp 第 262 行定义.
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prints all parameter registered for model selection and their type
在文件 SGObject.cpp 第 474 行定义.
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void prune_tree | ( | CDenseFeatures< float64_t > * | validation_data, |
CMulticlassLabels * | validation_labels, | ||
float64_t | epsilon = 0.f |
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prune decision tree - uses reduced error pruning algorithm
cf. http://en.wikipedia.org/wiki/Pruning_%28decision_trees%29#Reduced_error_pruning
At each node, starting from leaf nodes up to the root node, this algorithm checks if removing the subtree gives better results (or somewhat comparable results). If so, it replaces the subtree with a leaf node. The algorithm implemented is recursive which starts with the root node. At each node, it prunes its children first and then itself. As the algorithm goes down each level during recursion, it creates the new set of features by pushing subset into subset stack. While retracting, it pops these subsets to access previous state of feature matrix (see add_subset() and remove_subset() in Shogun documentation).
validation_data | feature vectors from validation dataset |
validation_labels | multiclass labels from validation dataset |
epsilon | prune subtree even if there is epsilon loss in accuracy |
在文件 C45ClassifierTree.cpp 第 62 行定义.
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Save this object to file.
file | where to save the object; will be closed during returning if PREFIX is an empty string. |
prefix | prefix for members |
在文件 SGObject.cpp 第 314 行定义.
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protectedvirtualinherited |
Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_POST is called.
ShogunException | will be thrown if an error occurs. |
被 CKernel 重载.
在文件 SGObject.cpp 第 436 行定义.
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protectedvirtualinherited |
Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_PRE is called.
ShogunException | will be thrown if an error occurs. |
被 CKernel, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.
在文件 SGObject.cpp 第 431 行定义.
void set_feature_types | ( | SGVector< bool > | ft | ) |
set feature types of various features
ft | bool vector true for nominal feature false for continuous feature type |
在文件 C45ClassifierTree.cpp 第 92 行定义.
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inherited |
在文件 SGObject.cpp 第 41 行定义.
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inherited |
在文件 SGObject.cpp 第 46 行定义.
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inherited |
在文件 SGObject.cpp 第 51 行定义.
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在文件 SGObject.cpp 第 56 行定义.
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在文件 SGObject.cpp 第 61 行定义.
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在文件 SGObject.cpp 第 66 行定义.
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在文件 SGObject.cpp 第 71 行定义.
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在文件 SGObject.cpp 第 76 行定义.
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在文件 SGObject.cpp 第 81 行定义.
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inherited |
在文件 SGObject.cpp 第 86 行定义.
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inherited |
在文件 SGObject.cpp 第 91 行定义.
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inherited |
在文件 SGObject.cpp 第 96 行定义.
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在文件 SGObject.cpp 第 101 行定义.
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在文件 SGObject.cpp 第 106 行定义.
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在文件 SGObject.cpp 第 111 行定义.
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set generic type to T
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virtualinherited |
set labels
lab | labels |
被 CNeuralNetwork, CGaussianProcessMachine, CCARTree, CStructuredOutputMachine, CRelaxedTree , 以及 CMulticlassMachine 重载.
在文件 Machine.cpp 第 65 行定义.
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virtualinherited |
Setter for store-model-features-after-training flag
store_model | whether model should be stored after training |
在文件 Machine.cpp 第 107 行定义.
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virtualinherited |
A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.
被 CGaussianKernel 重载.
在文件 SGObject.cpp 第 192 行定义.
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protectedvirtualinherited |
enable unlocked cross-validation - no model features to store
重载 CMachine .
在文件 TreeMachine.h 第 152 行定义.
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virtualinherited |
被 CKernelMachine , 以及 CMultitaskLinearMachine 重载.
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train machine
data | training data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data). If flag is set, model features will be stored after training. |
被 CRelaxedTree, CAutoencoder, CSGDQN , 以及 COnlineSVMSGD 重载.
在文件 Machine.cpp 第 39 行定义.
Trains a locked machine on a set of indices. Error if machine is not locked
NOT IMPLEMENTED
indices | index vector (of locked features) that is used for training |
被 CKernelMachine , 以及 CMultitaskLinearMachine 重载.
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protectedvirtual |
train machine - build C4.5 Tree from training data
data | training data |
重载 CMachine .
在文件 C45ClassifierTree.cpp 第 109 行定义.
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protectedvirtualinherited |
returns whether machine require labels for training
被 COnlineLinearMachine, CHierarchical, CLinearLatentMachine, CVwConditionalProbabilityTree, CConditionalProbabilityTree , 以及 CLibSVMOneClass 重载.
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unset generic type
this has to be called in classes specializing a template class
在文件 SGObject.cpp 第 303 行定义.
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Updates the hash of current parameter combination
在文件 SGObject.cpp 第 248 行定义.
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io
在文件 SGObject.h 第 369 行定义.
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parameters wrt which we can compute gradients
在文件 SGObject.h 第 384 行定义.
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Hash of parameter values
在文件 SGObject.h 第 387 行定义.
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machines
在文件 BaseMulticlassMachine.h 第 56 行定义.
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model selection parameters
在文件 SGObject.h 第 381 行定义.
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parameters
在文件 SGObject.h 第 378 行定义.
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protectedinherited |
tree root
在文件 TreeMachine.h 第 156 行定义.
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protectedinherited |
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protectedinherited |
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denotes that a feature in a vector is missing MISSING = NOT_A_NUMBER
在文件 C45ClassifierTree.h 第 213 行定义.
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parallel
在文件 SGObject.h 第 372 行定义.
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version
在文件 SGObject.h 第 375 行定义.