unconstrained Least-Squares Importance Fitting

Hierarchy (View Summary)

Constructors

  • Parameters

    • sigma: number[]

      Sigma of normal distribution

    • lambda: number[]

      Regularization parameters

    • kernelNum: number

      Number of kernels

    Returns uLSIF

Properties

_alpha: number
_centers: any
_kernelNum: number
_kw: Matrix
_lambda: number
_lambda_cand: number[]
_sigma: number
_sigma_cand: number[]

Methods

  • Parameters

    • x: any
    • c: any
    • s: any

    Returns Matrix<number[]>

  • Fit model.

    Parameters

    • x1: number[][]

      Numerator data

    • x2: number[][]

      Denominator data

    Returns void

  • Returns estimated values.

    Parameters

    • x: number[][]

      Sample data

    Returns number[]

    Predicted values