Classification - Support Vector Machines

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Operators

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

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

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

clear_class_svmClearClassSvm: Clear a support vector machine.

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

create_class_svmCreateClassSvm: Create a support vector machine for pattern classification.

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

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

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

get_params_class_svmGetParamsClassSvm: Return the parameters of a support vector machine.

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

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

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

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

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

read_class_svmReadClassSvm: Read a support vector machine from a file.

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

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

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

serialize_class_svmSerializeClassSvm: Serialize a support vector machine (SVM).

train_class_svmTrainClassSvm: Train a support vector machine.

write_class_svmWriteClassSvm: Write a support vector machine to a file.

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