Class DUOL

constructor

• new DUOL(
      c?: number,
      rho?: number,
      kernel?:
          | "gaussian"
          | "polynomial"
          | { name: "gaussian"; s?: number }
          | { d?: number; name: "polynomial" }
          | ((arg0: number[], arg1: number[]) => number),
  ): DUOL

  Parameters

  • Optionalc: number

    Regularization parameter

  • Optionalrho: number

    Threshold

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

    Kernel name

  Returns DUOL

_c

_kernel

_rho

_sv

fit

• fit(x: number[][], y: (-1 | 1)[]): void

  Fit model.

  Parameters

  • x: number[][]

    Training data

  • y: (-1 | 1)[]

    Target values

  Returns void

predict

• predict(data: number[][]): (-1 | 1)[]

  Returns predicted values.

  Parameters

  • data: number[][]

    Sample data

  Returns (-1 | 1)[]

  Predicted values