Class TighterPerceptron

constructor

• new TighterPerceptron(
      beta?: number,
      p?: number,
      update?: "perceptron" | "mira" | "nobias",
  ): TighterPerceptron

  Parameters

  • Optionalbeta: number

    Margine
  • Optionalp: number

    Cachs size
  • Optionalupdate: "perceptron" | "mira" | "nobias"

    Update rule

  Returns TighterPerceptron

_a

_beta

_c

_C

_loss

_p

_update

_w

fit

• fit(x: number[][], y: (-1 | 1)[]): void

  Fit model parameters.

  Parameters

  • x: number[][]

    Training data
  • y: (-1 | 1)[]

    Target values

  Returns void

predict

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

  Returns predicted values.

  Parameters

  • data: number[][]

    Sample data

  Returns (-1 | 1)[]

  Predicted values