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