Class SoftConfidenceWeighted

_c

_d

_eta

_m

_phi

_psi

_s

_x

_xi

_y

_alpha

• _alpha(v: any, m: any): number

• Parameters

  • v: any
  • m: any

  Returns number

_cdf

• _cdf(x: any): number

• Parameters

  • x: any

  Returns number

_ppf

• _ppf(x: any): any

• Parameters

  • x: any

  Returns any

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