ClassesClassesClassesClasses | | | | Operators

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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.

Finalizer

This operator is not available as a class member but will be called automatically when the resources of the object instances are to be released. This occurs in the finalization stage of garbage collection, or upon an explicit call of the Dispose() method.

ClearClassMlp    Clear a multilayer perceptron.

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.
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.

Destructor

This operator is not available as a class member but will be called automatically by the destructor. This occurs when a local variable goes out of scope or an instance on the heap is deleted.

ClearClassMlp    Clear a multilayer perceptron.

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.
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.

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.
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.

HClassMlpX (Class)

Name

HClassMlpX — 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.

Destructor

This operator is not available as a class member but will be called automatically by the destructor. This occurs when the last reference to the object instance is removed.

ClearClassMlp    Clear a multilayer perceptron.

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.
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.


ClassesClassesClassesClasses | | | | Operators