pca

Documentation

Overview

Implementation of Principal Component Analysis(PCA) with SVD

Index

• type PCA
  • func NewPCA(num_components int) *PCA
  • func (pca *PCA) Fit(X *mat.Dense) *PCA
  • func (pca *PCA) FitTransform(X *mat.Dense) *mat.Dense
  • func (pca *PCA) Transform(X *mat.Dense) *mat.Dense

Types

type PCA

type PCA struct {
	Num_components int
	// contains filtered or unexported fields
}

func NewPCA

func NewPCA(num_components int) *PCA

Number of components. 0 - by default, use number of features as number of components

func (*PCA) Fit

func (pca *PCA) Fit(X *mat.Dense) *PCA

Fit PCA model

func (*PCA) FitTransform

func (pca *PCA) FitTransform(X *mat.Dense) *mat.Dense

Fit PCA model and transform data Need return is base.FixedDataGrid

func (*PCA) Transform

func (pca *PCA) Transform(X *mat.Dense) *mat.Dense

Need return is base.FixedDataGrid