Class KernelDensityEstimator

constructor

• new KernelDensityEstimator(
      h?: number,
      kernel?:
          | "gaussian"
          | "epanechnikov"
          | "rectangular"
          | "triangular"
          | "biweight"
          | "triweight"
          | { name: "gaussian" }
          | { name: "rectangular" }
          | { name: "triangular" }
          | { name: "epanechnikov" }
          | { name: "biweight" }
          | { name: "triweight" }
          | ((arg0: number) => number),
  ): KernelDensityEstimator

  Parameters

  • Optionalh: number

    Smoothing parameter for the kernel
  • Optionalkernel:
        | "gaussian"
        | "epanechnikov"
        | "rectangular"
        | "triangular"
        | "biweight"
        | "triweight"
        | { name: "gaussian" }
        | { name: "rectangular" }
        | { name: "triangular" }
        | { name: "epanechnikov" }
        | { name: "biweight" }
        | { name: "triweight" }
        | ((arg0: number) => number)

    Kernel name

  Returns KernelDensityEstimator

_h

_kernel

_x

fit

• fit(x: number[][]): void

  Fit model.

  Parameters

  • x: number[][]

    Training data

  Returns void

predict

• predict(x: number[][]): number[]

  Returns probabilities of the datas.

  Parameters

  • x: number[][]

    Sample data

  Returns number[]

  Predicted values

probability

• probability(x: number[][]): number[]

  Returns probabilities of the datas.

  Parameters

  • x: number[][]

    Sample data

  Returns number[]

  Predicted values