Class HuberRegression

constructor

• new HuberRegression(
      e?: number,
      method?: "rls" | "gd",
      lr?: number,
  ): HuberRegression

• Parameters

  • Optionale: number

    Threshold of outliers
  • Optionalmethod: "rls" | "gd"

    Method name
  • Optionallr: number

    Learning rate

  Returns HuberRegression

_e

_lr

_method

_s

_w

_gd

• _gd(x: any, y: any): void

• Parameters

  • x: any
  • y: any

  Returns void

_rls

• _rls(x: any, y: any): void

• Parameters

  • x: any
  • y: any

  Returns void

fit

• fit(x: number[][], y: number[][]): void

• Fit model.

  Parameters

  • x: number[][]

    Training data
  • y: number[][]

    Target values

  Returns void

predict

• predict(x: number[][]): number[][]

• Returns predicted values.

  Parameters

  • x: number[][]

    Sample data

  Returns number[][]

  Predicted values