pca

Documentation

Index

• Variables
• type PCA
  • func (pca *PCA) Fit(train core.Train, components int) (err error)
  • func (pca *PCA) Losses() (relative float64)

Variables

var (
	CentringError   = errors.New("ошибка центрирования данных - размерности")
	SVDError        = errors.New("ошибка SVD разложения")
	ComponentsError = errors.New("компонент больше чем размерность данных")
)

Types

type PCA

type PCA struct {
	// Means is vector of means, for each random rector (col) in
	// train, for making centred data.
	Means *mat.VecDense
	// Components is number of components after decomposition
	// (default - all).
	Components      int
	CentredTrain    *mat.Dense
	DecomposedTrain *mat.Dense
	SVD             *mat.SVD
	Result          *mat.Dense
}

func (*PCA) Fit

func (pca *PCA) Fit(train core.Train, components int) (err error)

func (*PCA) Losses

func (pca *PCA) Losses() (relative float64)