Class S3VM

constructor

• new S3VM(
      kernel:
          | "gaussian"
          | "linear"
          | { d?: number; name: "gaussian" }
          | { name: "linear" }
          | ((arg0: number[], arg1: number[]) => number),
  ): S3VM

  Parameters

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

    Kernel name

  Returns S3VM

_a

_b

_C

_Cs

_gamma_idx

_gammas

_k

_kernel

_m

_rate

_s

_t

_x

_erfc

• _erfc(z: any): number

  Parameters

  • z: any

  Returns number

_fit_continuation

• _fit_continuation(): void

  Returns void

fit

• fit(): void

  Fit model.

  Returns void

init

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

  Initialize model.

  Parameters

  • x: number[][]

    Training data
  • y: (-1 | 1)[]

    Target values

  Returns void

predict

• predict(data: number[][]): number[]

  Returns predicted values.

  Parameters

  • data: number[][]

    Sample data

  Returns number[]

  Predicted values