Class CELLIP

constructor

• new CELLIP(gamma?: number, a?: number): CELLIP

• Parameters

  • Optionalgamma: number

    Desired classification margin
  • Optionala: number

    Tradeoff parameter

  Returns CELLIP

_a

_d

_gamma

_m

_p

_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