This PR introduces a PCAPreprocessor class for transforming input data into a whitened, rank-reduced PCA space. It’s useful for cross models, enabling dimensionality reduction before extracting common patterns. This class is a key component of Continuum Power CCA (see #178).
This PR introduces a
PCAPreprocessorclass for transforming input data into a whitened, rank-reduced PCA space. It’s useful for cross models, enabling dimensionality reduction before extracting common patterns. This class is a key component of Continuum Power CCA (see #178).