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ApplyPCATransform
Applies previously obtained Principal Component Analysis (PCA) transformation coefficients to new data.
Header: | AVL.h |
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Syntax
C++
C#
void avl::ApplyPCATransform ( const avl::Matrix& inMatrix, const avl::PCAModel& inPCAModel, avl::Matrix& outTransformedMatrix )
Parameters
Name | Type | Default | Description | |
---|---|---|---|---|
inMatrix | const Matrix& | Input data with variables in columns and examples in rows. | ||
inPCAModel | const PCAModel& | Previously created PCA model to apply to data provided in inMatrix. | ||
outTransformedMatrix | Matrix& | Transformed inMatrix. |
Errors
Error type | Description |
---|---|
DomainError | Malformed inPCAModel - MeanVector and StandardDeviationVector have to have the same length in ApplyPCATransform. |
DomainError | Malformed inPCAModel - MeanVector and StandardDeviationVector are not row-vectors in ApplyPCATransform. |
DomainError | PCAModel does not match - inMatrix column count does not match in ApplyPCATransform. |
DomainError | PCAModel does not match - StandardDeviationVector length is different then inMatrix column count in ApplyPCATransform. |
DomainError | PCAModel does not match - PCAFeatureVector dimensions does not correspond to inMatrix dimensions in ApplyPCATransform. |