Class MultivariateKernelDensityEstimator

constructor

• new MultivariateKernelDensityEstimator(
      method?: "scott" | "silverman",
  ): MultivariateKernelDensityEstimator

  Parameters

  • Optionalmethod: "scott" | "silverman"

    Optimal bandwidth method

  Returns MultivariateKernelDensityEstimator

_h

_hsqrtdet

_invh

_method

_x

_kernel

• _kernel(invh: any, sqrtdeth: any, x: any): any

  Parameters

  • invh: any
  • sqrtdeth: any
  • x: any

  Returns any

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