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preprocessing

package

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Versions in this module

v0

v0.5.0

Aug 21, 2025

v0.4.0

Aug 7, 2025

v0.3.0

Aug 7, 2025

v0.2.0

Aug 6, 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)