HClassTrainData (Class)

Name

HClassTrainData — Represents an instance of a training data management class.

Constructors

`ReadClassTrainData`		Read the training data for classifiers from a file.
`CreateClassTrainData`		Create a handle for training data for classifiers.

Methods

`AddClassTrainDataGmm`		Add training data to a Gaussian Mixture Model (GMM).
`AddClassTrainDataKnn`		Add training data to a k-nearest neighbors (k-NN) classifier.
`AddClassTrainDataMlp`		Add training data to a multilayer perceptron (MLP).
`AddClassTrainDataSvm`		Add training data to a support vector machine (SVM).
`AddSampleClassTrainData`		Add a training sample to training data.
`ClearClassTrainData`		Clears training data for classifiers.
`CreateClassTrainData`		Create a handle for training data for classifiers.
`DeserializeClassTrainData`		Deserialize serialized training data for classifiers.
`GetClassTrainDataGmm`		Get the training data of a Gaussian Mixture Model (GMM).
`GetClassTrainDataKnn`		Get the training data of a k-nearest neighbors (k-NN) classifier.
`GetClassTrainDataMlp`		Get the training data of a multilayer perceptron (MLP).
`GetClassTrainDataSvm`		Get the training data of a support vector machine (SVM).
`GetSampleClassTrainData`		Return a training sample from training data.
`GetSampleNumClassTrainData`		Return the number of training samples stored in the training data.
`ReadClassTrainData`		Read the training data for classifiers from a file.
`SelectFeatureSetGmm`		Selects an optimal combination from a set of features to classify the provided data.
`SelectFeatureSetKnn`		Selects an optimal subset from a set of features to solve a certain classification problem.
`SelectFeatureSetMlp`		Selects an optimal combination of features to classify the provided data.
`SelectFeatureSetSvm`		Selects an optimal combination of features to classify the provided data.
`SelectSubFeatureClassTrainData`		Select certain features from training data to create training data containing less features.
`SerializeClassTrainData`		Serialize training data for classifiers.
`SetFeatureLengthsClassTrainData`		Define subfeatures in training data.
`WriteClassTrainData`		Save the training data for classifiers in a file.

HClassTrainData (Class)

Name

HClassTrainData — Represents an instance of a training data management class.

Constructors

`ReadClassTrainData`		Read the training data for classifiers from a file.
`CreateClassTrainData`		Create a handle for training data for classifiers.

Methods

`AddClassTrainDataGmm`		Add training data to a Gaussian Mixture Model (GMM).
`AddClassTrainDataKnn`		Add training data to a k-nearest neighbors (k-NN) classifier.
`AddClassTrainDataMlp`		Add training data to a multilayer perceptron (MLP).
`AddClassTrainDataSvm`		Add training data to a support vector machine (SVM).
`AddSampleClassTrainData`		Add a training sample to training data.
`ClearClassTrainData`		Clears training data for classifiers.
`CreateClassTrainData`		Create a handle for training data for classifiers.
`DeserializeClassTrainData`		Deserialize serialized training data for classifiers.
`GetClassTrainDataGmm`		Get the training data of a Gaussian Mixture Model (GMM).
`GetClassTrainDataKnn`		Get the training data of a k-nearest neighbors (k-NN) classifier.
`GetClassTrainDataMlp`		Get the training data of a multilayer perceptron (MLP).
`GetClassTrainDataSvm`		Get the training data of a support vector machine (SVM).
`GetSampleClassTrainData`		Return a training sample from training data.
`GetSampleNumClassTrainData`		Return the number of training samples stored in the training data.
`ReadClassTrainData`		Read the training data for classifiers from a file.
`SelectFeatureSetGmm`		Selects an optimal combination from a set of features to classify the provided data.
`SelectFeatureSetKnn`		Selects an optimal subset from a set of features to solve a certain classification problem.
`SelectFeatureSetMlp`		Selects an optimal combination of features to classify the provided data.
`SelectFeatureSetSvm`		Selects an optimal combination of features to classify the provided data.
`SelectSubFeatureClassTrainData`		Select certain features from training data to create training data containing less features.
`SerializeClassTrainData`		Serialize training data for classifiers.
`SetFeatureLengthsClassTrainData`		Define subfeatures in training data.
`WriteClassTrainData`		Save the training data for classifiers in a file.