Class KLIEP

constructor

• new KLIEP(sigma: number[], fold: number, kernelNum: number): KLIEP

• Parameters

  • sigma: number[]

    Sigmas of normal distribution
  • fold: number

    Number of folds
  • kernelNum: number

    Number of kernels

  Returns KLIEP

_centers

_fold

_kernelNum

_kw

_sigma

_sigma_cand

_kernel_gaussian

• _kernel_gaussian(x: any, c: any, s: any): Matrix<number[]>

• Parameters

  • x: any
  • c: any
  • s: any

  Returns Matrix<number[]>

_optimize_alpha

• _optimize_alpha(a: any, b: any): Matrix

• Parameters

  • a: any
  • b: any

  Returns Matrix

fit

• fit(x1: number[][], x2: number[][]): void

• Fit model.

  Parameters

  • x1: number[][]

    Numerator data
  • x2: number[][]

    Denominator data

  Returns void

predict

• predict(x: number[][]): number[]

• Returns estimated values.

  Parameters

  • x: number[][]

    Sample data

  Returns number[]

  Predicted values