Versions in this module Expand all Collapse all v1 v1.0.0 Nov 12, 2025 Changes in this version + type MinMaxScaler struct + DataMax []float64 + DataMin []float64 + FeatureRange [2]float64 + Max []float64 + Min []float64 + NFeatures int + Scale []float64 + func NewMinMaxScaler(featureRange [2]float64) *MinMaxScaler + func NewMinMaxScalerDefault() *MinMaxScaler + func (m *MinMaxScaler) Fit(X mat.Matrix) (err error) + func (m *MinMaxScaler) FitTransform(X mat.Matrix) (_ mat.Matrix, err error) + func (m *MinMaxScaler) GetParams() map[string]interface{} + func (m *MinMaxScaler) InverseTransform(X mat.Matrix) (_ mat.Matrix, err error) + func (m *MinMaxScaler) String() string + func (m *MinMaxScaler) Transform(X mat.Matrix) (_ mat.Matrix, err error) + type OneHotEncoder struct + Categories [][]string + CategoryToIdx []map[string]int + NFeatures int + NOutputs int + func NewOneHotEncoder() *OneHotEncoder + func (e *OneHotEncoder) Fit(data [][]string) (err error) + func (e *OneHotEncoder) FitTransform(data [][]string) (_ mat.Matrix, err error) + func (e *OneHotEncoder) GetFeatureNamesOut(inputFeatures []string) []string + func (e *OneHotEncoder) Transform(data [][]string) (_ mat.Matrix, err error) + type StandardScaler struct + Mean []float64 + NFeatures int + Scale []float64 + WithMean bool + WithStd bool + func NewStandardScaler(withMean, withStd bool) *StandardScaler + func NewStandardScalerDefault() *StandardScaler + func (s *StandardScaler) Fit(X mat.Matrix) (err error) + func (s *StandardScaler) FitTransform(X mat.Matrix) (_ mat.Matrix, err error) + func (s *StandardScaler) GetParams() map[string]interface{} + func (s *StandardScaler) InverseTransform(X mat.Matrix) (_ mat.Matrix, err error) + func (s *StandardScaler) String() string + func (s *StandardScaler) Transform(X mat.Matrix) (_ mat.Matrix, err error)
Go to main page