Class NormalHERD

constructor

• new NormalHERD(
      type?: "full" | "exact" | "project" | "drop",
      c?: number,
  ): NormalHERD

  Parameters

  • Optionaltype: "full" | "exact" | "project" | "drop"

    Method name
  • Optionalc: number

    Tradeoff value between passiveness and aggressiveness

  Returns NormalHERD

_c

_d

_m

_method

_s

_shift

_x

_y

fit

• fit(): void

  Fit model parameters.

  Returns void

init

• init(train_x: number[][], train_y: (-1 | 1)[]): void

  Initialize this model.

  Parameters

  • train_x: number[][]

    Training data
  • train_y: (-1 | 1)[]

    Target values

  Returns void

predict

• predict(data: number[][]): (-1 | 1)[]

  Returns predicted datas.

  Parameters

  • data: number[][]

    Sample data

  Returns (-1 | 1)[]

  Predicted values

update

• update(x: Matrix, y: -1 | 1): void

  Update model parameters with one data.

  Parameters

  • x: Matrix

    Training data
  • y: -1 | 1

    Target value

  Returns void