Class KernelRidge

constructor

• new KernelRidge(
      lambda?: number,
      kernel?:
          | "gaussian"
          | { name: "gaussian"; s?: number }
          | ((arg0: number[], arg1: number[]) => number),
  ): KernelRidge

  Parameters

  • Optionallambda: number

    Regularization strength
  • Optionalkernel:
        | "gaussian"
        | { name: "gaussian"; s?: number }
        | ((arg0: number[], arg1: number[]) => number)

    Kernel name

  Returns KernelRidge

_kernel

_lambda

_w

_x

fit

• fit(x: number[][], y: number[][]): void

  Fit model.

  Parameters

  • x: number[][]

    Training data
  • y: number[][]

    Target values

  Returns void

importance

• importance(): number[]

  Returns importances of the features.

  Returns number[]

  Importances

predict

• predict(x: number[][]): number[][]

  Returns predicted values.

  Parameters

  • x: number[][]

    Sample data

  Returns number[][]

  Predicted values