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Invoke.MLP_Train

Creates and trains multilayer perceptron classifier.

Namespace:Avl
Assembly:AvlNet.dll

Syntax

C++
C#
 
public static void MLP_Train
(
	Avl.MlpModel inMlpModel,
	List<List<float>> inInputVectorArray,
	List<List<float>> inResponseVectorArray,
	Optional<List<List<float>>> inTestInputVectorArray,
	Optional<List<List<float>>> inTestResponseVectorArray,
	int inIterationCount,
	float inLearningRate,
	float inMomentum,
	Optional<int> inRandomSeed,
	Avl.MlpModel outMlpModel,
	Diagnostic<Avl.Profile> diagErrorChartLearning,
	Diagnostic<Avl.Profile> diagErrorChartTesting
)

Parameters

Name Type Range Default Description
inMlpModelAvl.MlpModelInitialized MLP model.
inInputVectorArraySystem.Collections.Generic.List<System.Collections.Generic.List<float>>Array of features used to train model.
inResponseVectorArraySystem.Collections.Generic.List<System.Collections.Generic.List<float>>Array of answers which classifier should get.
inTestInputVectorArrayAtl.Optional<System.Collections.Generic.List<System.Collections.Generic.List<float>>>Array of features used to test classifier during training process. Default value: atl::NIL.
inTestResponseVectorArrayAtl.Optional<System.Collections.Generic.List<System.Collections.Generic.List<float>>>Array of answers used to test classifier during training process. Default value: atl::NIL.
inIterationCountint<1, INF>100Learning iteration count. Default value: 100.
inLearningRatefloat<0.01f, 1.0f>1.0fLearning factor. Default value: 1.0f.
inMomentumfloat<0.0f, 1.0f>0.01fLearning momentum ratio. Default value: 0.01f.
inRandomSeedAtl.Optional<int><0, INF>Number used as starting random seed. Default value: atl::NIL.
outMlpModelAvl.MlpModelTrained MlpModel.
diagErrorChartLearningAvl.Diagnostic<Avl.Profile>Mean error of testing results data during learning process.
diagErrorChartTestingAvl.Diagnostic<Avl.Profile>Mean error during learning process.

See also