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HClassTrainData (Class)

名称

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`		将训练数据添加到高斯混合模型(GMM)。
`AddClassTrainDataKnn`		将训练数据添加到k-最近邻(k-NN)分类器。
`AddClassTrainDataMlp`		将训练数据添加到多层感知器(MLP)。
`AddClassTrainDataSvm`		将训练数据添加到支持向量机(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-最近邻 (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)

名称

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`		将训练数据添加到高斯混合模型(GMM)。
`AddClassTrainDataKnn`		将训练数据添加到k-最近邻(k-NN)分类器。
`AddClassTrainDataMlp`		将训练数据添加到多层感知器(MLP)。
`AddClassTrainDataSvm`		将训练数据添加到支持向量机(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-最近邻 (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.

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