Class KernelizedPegasos

constructor

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

  Parameters

  • rate: number

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

    Kernel name

  Returns KernelizedPegasos

_a

_itr

_k

_kernel

_r

_t

_x

_y

fit

• fit(): void

  Fit model parameters.

  Returns void

init

• init(train_x: number[][], train_y: (-1 | 1)[]): void

  Initialize this model.

  Parameters

  • train_x: number[][]

    Training data
  • train_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