Class IKNN

constructor

• new IKNN(k: number, i: number): IKNN

• Parameters

  • k: number

    Number of neighbors
  • i: number

    Number of informative points

  Returns IKNN

_c

_eta

_gamma

_i

_k

_logp2t

_w

_x

_y

_pr

• _pr(xj: any, xi: any): number

• Parameters

  • xj: any
  • xi: any

  Returns number

fit

• fit(x: number[][], y: any[]): void

• Fit model.

  Parameters

  • x: number[][]

    Training data
  • y: any[]

    Target values

  Returns void

predict

• predict(data: number[][]): any[]

• Returns predicted categories.

  Parameters

  • data: number[][]

    Sample data

  Returns any[]

  Predicted values