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ReversePCATransform
Reverses Principal Component Analysis (PCA) process. Can be used to transform data back to original feature space.
Header: | AVL.h |
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Syntax
C++
C#
void avl::ReversePCATransform ( const avl::Matrix& inTransformedMatrix, const avl::PCAModel& inPCAModel, avl::Matrix& outMatrix )
Parameters
Name | Type | Default | Description | |
---|---|---|---|---|
inTransformedMatrix | const Matrix& | Data that was transformed earlier. | ||
inPCAModel | const PCAModel& | PCA model used to create inTransformedMatrix. | ||
outMatrix | Matrix& | inTransformedMatrix transformed back to its original feature space. |
Errors
Error type | Description |
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DomainError | Feature vector of inPCAModel and Transformed Data matrices dimensions do not correspond to each other in ReversePCATransform. |
DomainError | Malformed inPCAModel - uneven vector sizes in ReversePCATransform. |
DomainError | Malformed inPCAModel - MeanVector is not row-vector in ReversePCATransform. |
DomainError | Malformed inPCAModel - StandardDeviationVector is not row-vector in ReversePCATransform. |
DomainError | inMeanVector and inStandardDeviationVector have incorrect size for inTransformedMatrix provided in ReversePCATransform. |