Operator Reference

Support Vector Machines

List of Operators

add_class_train_data_svmAddClassTrainDataSvmadd_class_train_data_svmAddClassTrainDataSvmadd_class_train_data_svm: Add training data to a support vector machine (SVM).

add_sample_class_svmAddSampleClassSvmadd_sample_class_svmAddSampleClassSvmadd_sample_class_svm: Add a training sample to the training data of a support vector machine.

classify_class_svmClassifyClassSvmclassify_class_svmClassifyClassSvmclassify_class_svm: Classify a feature vector by a support vector machine.

clear_class_svmClearClassSvmclear_class_svmClearClassSvmclear_class_svm: Clear a support vector machine.

clear_samples_class_svmClearSamplesClassSvmclear_samples_class_svmClearSamplesClassSvmclear_samples_class_svm: Clear the training data of a support vector machine.

create_class_svmCreateClassSvmcreate_class_svmCreateClassSvmcreate_class_svm: Create a support vector machine for pattern classification.

deserialize_class_svmDeserializeClassSvmdeserialize_class_svmDeserializeClassSvmdeserialize_class_svm: Deserialize a serialized support vector machine (SVM).

evaluate_class_svmEvaluateClassSvmevaluate_class_svmEvaluateClassSvmevaluate_class_svm: Evaluate a feature vector by a support vector machine.

get_class_train_data_svmGetClassTrainDataSvmget_class_train_data_svmGetClassTrainDataSvmget_class_train_data_svm: Get the training data of a support vector machine (SVM).

get_params_class_svmGetParamsClassSvmget_params_class_svmGetParamsClassSvmget_params_class_svm: Return the parameters of a support vector machine.

get_prep_info_class_svmGetPrepInfoClassSvmget_prep_info_class_svmGetPrepInfoClassSvmget_prep_info_class_svm: Compute the information content of the preprocessed feature vectors of a support vector machine

get_sample_class_svmGetSampleClassSvmget_sample_class_svmGetSampleClassSvmget_sample_class_svm: Return a training sample from the training data of a support vector machine.

get_sample_num_class_svmGetSampleNumClassSvmget_sample_num_class_svmGetSampleNumClassSvmget_sample_num_class_svm: Return the number of training samples stored in the training data of a support vector machine.

get_support_vector_class_svmGetSupportVectorClassSvmget_support_vector_class_svmGetSupportVectorClassSvmget_support_vector_class_svm: Return the index of a support vector from a trained support vector machine.

get_support_vector_num_class_svmGetSupportVectorNumClassSvmget_support_vector_num_class_svmGetSupportVectorNumClassSvmget_support_vector_num_class_svm: Return the number of support vectors of a support vector machine.

read_class_svmReadClassSvmread_class_svmReadClassSvmread_class_svm: Read a support vector machine from a file.

read_samples_class_svmReadSamplesClassSvmread_samples_class_svmReadSamplesClassSvmread_samples_class_svm: Read the training data of a support vector machine from a file.

reduce_class_svmReduceClassSvmreduce_class_svmReduceClassSvmreduce_class_svm: Approximate a trained support vector machine by a reduced support vector machine for faster classification.

select_feature_set_svmSelectFeatureSetSvmselect_feature_set_svmSelectFeatureSetSvmselect_feature_set_svm: Selects an optimal combination of features to classify the provided data.

serialize_class_svmSerializeClassSvmserialize_class_svmSerializeClassSvmserialize_class_svm: Serialize a support vector machine (SVM).

train_class_svmTrainClassSvmtrain_class_svmTrainClassSvmtrain_class_svm: Train a support vector machine.

write_class_svmWriteClassSvmwrite_class_svmWriteClassSvmwrite_class_svm: Write a support vector machine to a file.

write_samples_class_svmWriteSamplesClassSvmwrite_samples_class_svmWriteSamplesClassSvmwrite_samples_class_svm: Write the training data of a support vector machine to a file.