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HClassMlp (Class)

Name

HClassMlp — Represents an instance of a multilayer perceptron.

Constructors

`ReadClassMlp`		Read a multilayer perceptron from a file.
`CreateClassMlp`		Create a multilayer perceptron for classification or regression.

Methods

`AddClassTrainDataMlp`		Add training data to a multilayer perceptron (MLP).
`AddSampleClassMlp`		Add a training sample to the training data of a multilayer perceptron.
`AddSamplesImageClassMlp`		Add training samples from an image to the training data of a multilayer perceptron.
`ClassifyClassMlp`		Calculate the class of a feature vector by a multilayer perceptron.
`ClassifyImageClassMlp`		Classify an image with a multilayer perceptron.
`ClearClassMlp`		Clear a multilayer perceptron.
`ClearSamplesClassMlp`		Clear the training data of a multilayer perceptron.
`CreateClassLutMlp`		Create a look-up table using a multi-layer perceptron to classify byte images.
`CreateClassMlp`		Create a multilayer perceptron for classification or regression.
`DeserializeClassMlp`		Deserialize a serialized multilayer perceptron.
`EvaluateClassMlp`		Calculate the evaluation of a feature vector by a multilayer perceptron.
`GetClassTrainDataMlp`		Get the training data of a multilayer perceptron (MLP).
`GetParamsClassMlp`		Return the parameters of a multilayer perceptron.
`GetPrepInfoClassMlp`		Compute the information content of the preprocessed feature vectors of a multilayer perceptron.
`GetRegularizationParamsClassMlp`		Return the regularization parameters of a multilayer perceptron.
`GetRejectionParamsClassMlp`		Get the parameters of a rejection class.
`GetSampleClassMlp`		Return a training sample from the training data of a multilayer perceptron.
`GetSampleNumClassMlp`		Return the number of training samples stored in the training data of a multilayer perceptron.
`ReadClassMlp`		Read a multilayer perceptron from a file.
`ReadSamplesClassMlp`		Read the training data of a multilayer perceptron from a file.
`SelectFeatureSetMlp`		Selects an optimal combination of features to classify the provided data.
`SerializeClassMlp`		Serialize a multilayer perceptron (MLP).
`SetRegularizationParamsClassMlp`		Set the regularization parameters of a multilayer perceptron.
`SetRejectionParamsClassMlp`		Set the parameters of a rejection class.
`TrainClassMlp`		Train a multilayer perceptron.
`WriteClassMlp`		Write a multilayer perceptron to a file.
`WriteSamplesClassMlp`		Write the training data of a multilayer perceptron to a file.

HClassMlp (Class)

Name

HClassMlp — Represents an instance of a multilayer perceptron.

Constructors

`ReadClassMlp`		Read a multilayer perceptron from a file.
`CreateClassMlp`		Create a multilayer perceptron for classification or regression.

Methods

`AddClassTrainDataMlp`		Add training data to a multilayer perceptron (MLP).
`AddSampleClassMlp`		Add a training sample to the training data of a multilayer perceptron.
`AddSamplesImageClassMlp`		Add training samples from an image to the training data of a multilayer perceptron.
`ClassifyClassMlp`		Calculate the class of a feature vector by a multilayer perceptron.
`ClassifyImageClassMlp`		Classify an image with a multilayer perceptron.
`ClearClassMlp`		Clear a multilayer perceptron.
`ClearSamplesClassMlp`		Clear the training data of a multilayer perceptron.
`CreateClassLutMlp`		Create a look-up table using a multi-layer perceptron to classify byte images.
`CreateClassMlp`		Create a multilayer perceptron for classification or regression.
`DeserializeClassMlp`		Deserialize a serialized multilayer perceptron.
`EvaluateClassMlp`		Calculate the evaluation of a feature vector by a multilayer perceptron.
`GetClassTrainDataMlp`		Get the training data of a multilayer perceptron (MLP).
`GetParamsClassMlp`		Return the parameters of a multilayer perceptron.
`GetPrepInfoClassMlp`		Compute the information content of the preprocessed feature vectors of a multilayer perceptron.
`GetRegularizationParamsClassMlp`		Return the regularization parameters of a multilayer perceptron.
`GetRejectionParamsClassMlp`		Get the parameters of a rejection class.
`GetSampleClassMlp`		Return a training sample from the training data of a multilayer perceptron.
`GetSampleNumClassMlp`		Return the number of training samples stored in the training data of a multilayer perceptron.
`ReadClassMlp`		Read a multilayer perceptron from a file.
`ReadSamplesClassMlp`		Read the training data of a multilayer perceptron from a file.
`SelectFeatureSetMlp`		Selects an optimal combination of features to classify the provided data.
`SerializeClassMlp`		Serialize a multilayer perceptron (MLP).
`SetRegularizationParamsClassMlp`		Set the regularization parameters of a multilayer perceptron.
`SetRejectionParamsClassMlp`		Set the parameters of a rejection class.
`TrainClassMlp`		Train a multilayer perceptron.
`WriteClassMlp`		Write a multilayer perceptron to a file.
`WriteSamplesClassMlp`		Write the training data of a multilayer perceptron to a file.

Operators