Class MinmaxNormalization

constructor

• new MinmaxNormalization(min?: number, max?: number): MinmaxNormalization

• Parameters

  • Optionalmin: number

    Minimum value
  • Optionalmax: number

    Maximum value

  Returns MinmaxNormalization

_d_max

_d_min

_max

_min

fit

• fit(x: number[] | number[][]): void

• Fit model.

  Parameters

  • x: number[] | number[][]

    Training data

  Returns void

inverse

• inverse(z: number[] | number[][]): number[] | number[][]

• Returns inverse transformed values.

  Parameters

  • z: number[] | number[][]

    Sample data

  Returns number[] | number[][]

  Predicted values

predict

• predict(x: number[] | number[][]): number[] | number[][]

• Returns transformed values.

  Parameters

  • x: number[] | number[][]

    Sample data

  Returns number[] | number[][]

  Predicted values