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FIS.NormalizeMatrixData Method

Treats Matrix as a data frame, where examples are in rows while columns represent features, and normalizes the data by subtracting mean from each column and dividing it by its standard deviation.

Syntax

public static void NormalizeMatrixData
(
	FilNet.Matrix inMatrix,
	FilNet.Matrix outNormalizedMatrix,
	FilNet.Matrix outMeansVector,
	FilNet.Matrix outStandardDeviationsVector
)

Parameters

	Name	Type	Range	Default	Description
	inMatrix	FilNet.Matrix			Input data frame.
	outNormalizedMatrix	FilNet.Matrix			Resulting normalized matrix.
	outMeansVector	FilNet.Matrix			Resulting Means vector - copy of inMeansVector, or calculated Means, if inMeansVector was set NIL.
	outStandardDeviationsVector	FilNet.Matrix			Resulting StdDevs vector - copy of inStandardDeviationsVector, or calculated Means, if inStandardDeviationsVector was set NIL.

Function Overrides

• NormalizeMatrixData(Matrix, NullableRef<Matrix>, NullableRef<Matrix>, Matrix, Matrix, Matrix)

See also

• All Classes List
• FIS Class Reference