ClassesClasses | | Operators

add_sample_class_svmT_add_sample_class_svmAddSampleClassSvmAddSampleClassSvm (Operator)

Name

add_sample_class_svmT_add_sample_class_svmAddSampleClassSvmAddSampleClassSvm — Add a training sample to the training data of a support vector machine.

Signature

add_sample_class_svm( : : SVMHandle, Features, Class : )

Herror T_add_sample_class_svm(const Htuple SVMHandle, const Htuple Features, const Htuple Class)

void AddSampleClassSvm(const HTuple& SVMHandle, const HTuple& Features, const HTuple& Class)

void HClassSvm::AddSampleClassSvm(const HTuple& Features, const HTuple& Class) const

void HClassSvm::AddSampleClassSvm(const HTuple& Features, Hlong Class) const

static void HOperatorSet.AddSampleClassSvm(HTuple SVMHandle, HTuple features, HTuple classVal)

void HClassSvm.AddSampleClassSvm(HTuple features, HTuple classVal)

void HClassSvm.AddSampleClassSvm(HTuple features, int classVal)

Description

add_sample_class_svmadd_sample_class_svmAddSampleClassSvmAddSampleClassSvmAddSampleClassSvm adds a training sample to the support vector machine (SVM) given by SVMHandleSVMHandleSVMHandleSVMHandleSVMHandle. The training sample is given by FeaturesFeaturesFeaturesFeaturesfeatures and ClassClassClassClassclassVal. FeaturesFeaturesFeaturesFeaturesfeatures is the feature vector of the sample, and consequently must be a real vector of length NumFeatures, as specified in create_class_svmcreate_class_svmCreateClassSvmCreateClassSvmCreateClassSvm. ClassClassClassClassclassVal is the target of the sample, which must be in the range of 0 to NumClasses-1 (see create_class_svmcreate_class_svmCreateClassSvmCreateClassSvmCreateClassSvm). In the special case of novelty detection the class is to be set to 0 as only one class is assumed. Before the SVM can be trained with train_class_svmtrain_class_svmTrainClassSvmTrainClassSvmTrainClassSvm, training samples must be added to the SVM with add_sample_class_svmadd_sample_class_svmAddSampleClassSvmAddSampleClassSvmAddSampleClassSvm. The usage of support vectors of an already trained SVM as training samples is described in train_class_svmtrain_class_svmTrainClassSvmTrainClassSvmTrainClassSvm.

The number of currently stored training samples can be queried with get_sample_num_class_svmget_sample_num_class_svmGetSampleNumClassSvmGetSampleNumClassSvmGetSampleNumClassSvm. Stored training samples can be read out again with get_sample_class_svmget_sample_class_svmGetSampleClassSvmGetSampleClassSvmGetSampleClassSvm.

Normally, it is useful to save the training samples in a file with write_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvmWriteSamplesClassSvm to facilitate reusing the samples and to facilitate that, if necessary, new training samples can be added to the data set, and hence to facilitate that a newly created SVM can be trained with the extended data set.

Execution Information

This operator modifies the state of the following input parameter:

The value of this parameter may not be shared across multiple threads without external synchronization.

Parameters

SVMHandleSVMHandleSVMHandleSVMHandleSVMHandle (input_control, state is modified)  class_svm HClassSvm, HTupleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

SVM handle.

FeaturesFeaturesFeaturesFeaturesfeatures (input_control)  real-array HTupleHTupleHtuple (real) (double) (double) (double)

Feature vector of the training sample to be stored.

ClassClassClassClassclassVal (input_control)  number HTupleHTupleHtuple (integer / real) (int / long / double) (Hlong / double) (Hlong / double)

Class of the training sample to be stored.

Result

If the parameters are valid the operator add_sample_class_svmadd_sample_class_svmAddSampleClassSvmAddSampleClassSvmAddSampleClassSvm returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.

Possible Predecessors

create_class_svmcreate_class_svmCreateClassSvmCreateClassSvmCreateClassSvm

Possible Successors

train_class_svmtrain_class_svmTrainClassSvmTrainClassSvmTrainClassSvm, write_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvmWriteSamplesClassSvm, get_sample_num_class_svmget_sample_num_class_svmGetSampleNumClassSvmGetSampleNumClassSvmGetSampleNumClassSvm, get_sample_class_svmget_sample_class_svmGetSampleClassSvmGetSampleClassSvmGetSampleClassSvm

Alternatives

read_samples_class_svmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvmReadSamplesClassSvm

See also

clear_samples_class_svmclear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmClearSamplesClassSvm, get_support_vector_class_svmget_support_vector_class_svmGetSupportVectorClassSvmGetSupportVectorClassSvmGetSupportVectorClassSvm

Module

Foundation


ClassesClasses | | Operators