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AVS.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
(
	AvlNet.Matrix inMatrix,
	AvlNet.Matrix outNormalizedMatrix,
	AvlNet.Matrix outMeansVector,
	AvlNet.Matrix outStandardDeviationsVector
)

Parameters

	Name	Type	Range	Default	Description
	inMatrix	AvlNet.Matrix			Input data frame.
	outNormalizedMatrix	AvlNet.Matrix			Resulting normalized matrix.
	outMeansVector	AvlNet.Matrix			Resulting Means vector - copy of inMeansVector, or calculated Means, if inMeansVector was set NIL.
	outStandardDeviationsVector	AvlNet.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
• AVS Class Reference