Class SelectiveSamplingSOP

constructor

• new SelectiveSamplingSOP(b: number): SelectiveSamplingSOP

  Parameters

  • b: number

    Smooth parameter

  Returns SelectiveSamplingSOP

_b

_d

_s

_shift

_v

_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 datas.

  Parameters

  • data: number[][]

    Sample data

  Returns (-1 | 1)[]

  Predicted values

update

• update(x: Matrix, y: -1 | 1): void

  Update model parameters with one data.

  Parameters

  • x: Matrix

    Training data
  • y: -1 | 1

    Target value

  Returns void