Phpml\DimensionReduction\EigenTransformerBase Class Reference

Inheritance diagram for Phpml\DimensionReduction\EigenTransformerBase:

Public Attributes
int	$numFeatures = null
	Number of features to be preserved after the reduction.
float	$totalVariance = 0.9
	Total variance to be conserved after the reduction.

Protected Member Functions
	eigenDecomposition (array $matrix)
	Calculates eigenValues and eigenVectors of the given matrix.
	reduce (array $data)
	Returns the reduced data.

Protected Attributes
array	$eigValues = []
	Top eigenValues of the matrix.
array	$eigVectors = []
	Top eigenvectors of the matrix.

Member Function Documentation

eigenDecomposition()

Phpml\DimensionReduction\EigenTransformerBase::eigenDecomposition ( array $matrix )

protected

Calculates eigenValues and eigenVectors of the given matrix.

Returns top eigenVectors along with the largest eigenValues. The total explained variance of these eigenVectors will be no less than desired $totalVariance value

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The documentation for this class was generated from the following file:

• lib/mlbackend/php/phpml/src/Phpml/DimensionReduction/EigenTransformerBase.php