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FIS.MLP_Train Method

Creates and trains multilayer perceptron classifier.

Namespace:FilNet
Assembly:FIL.NET.dll

Syntax

public static void MLP_Train
(
	FilNet.MlpModel inMlpModel,
	IList<IList<float>> inInputVectorArray,
	IList<IList<float>> inResponseVectorArray,
	NullableRef<IList<IList<float>>> inTestInputVectorArray,
	NullableRef<IList<IList<float>>> inTestResponseVectorArray,
	int inIterationCount,
	float inLearningRate,
	float inMomentum,
	int? inRandomSeed,
	FilNet.MlpModel outMlpModel,
	FilNet.Profile diagErrorChartLearning,
	FilNet.Profile diagErrorChartTesting
)

Parameters

Name Type Range Default Description
inMlpModelFilNet.MlpModelInitialized MLP model.
inInputVectorArraySystem.Collections.Generic.IList<System.Collections.Generic.IList<float>>Array of features used to train model.
inResponseVectorArraySystem.Collections.Generic.IList<System.Collections.Generic.IList<float>>Array of answers which classifier should get.
inTestInputVectorArrayFilNet.NullableRef<System.Collections.Generic.IList<System.Collections.Generic.IList<float>>>Array of features used to test classifier during training process. Default value: ftl::NIL.
inTestResponseVectorArrayFilNet.NullableRef<System.Collections.Generic.IList<System.Collections.Generic.IList<float>>>Array of answers used to test classifier during training process. Default value: ftl::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.
inRandomSeedint?<0, INF>Number used as starting random seed. Default value: ftl::NIL.
outMlpModelFilNet.MlpModelTrained MlpModel.
diagErrorChartLearningFilNet.ProfileMean error of testing results data during learning process.
diagErrorChartTestingFilNet.ProfileMean error during learning process.

Function Overrides

See also