Class CRF

constructor

• new CRF(): CRF

• Returns CRF

_e

_phi

_w

_x_cand

_xn

_y_cand

_yn

_alpha

• _alpha(x: any, scaled?: boolean): any[][]

• Parameters

  • x: any
  • Optionalscaled: boolean

  Returns any[][]

_beta

• _beta(x: any, scaled?: boolean): any[][]

• Parameters

  • x: any
  • Optionalscaled: boolean

  Returns any[][]

_p

• _p(x: any, scaled?: boolean): any[][]

• Parameters

  • x: any
  • Optionalscaled: boolean

  Returns any[][]

_psi

• _psi(x: any, y1: any, y0: any): number

• Parameters

  • x: any
  • y1: any
  • y0: any

  Returns number

_z

• _z(x: any): any

• Parameters

  • x: any

  Returns any

fit

• fit(x: any[][], y: any[][]): void

• Fit model.

  Parameters

  • x: any[][]

    Training data
  • y: any[][]

    Target values

  Returns void

predict

• predict(x: any[][]): any[][]

• Returns predicted labels.

  Parameters

  • x: any[][]

    Sample data

  Returns any[][]

  Predicted values

probability

• probability(x: any[], y: any[]): number

• Returns probability P(y|x).

  Parameters

  • x: any[]

    Sample data
  • y: any[]

    Target values

  Returns number

  Predicted values