Class OnlineGradientDescent

constructor

• new OnlineGradientDescent(c?: number, loss?: "zero_one"): OnlineGradientDescent

• Parameters

  • Optionalc: number

    Tuning parameter
  • Optionalloss: "zero_one"

    Loss type name

  Returns OnlineGradientDescent

_c

_loss

_t

_w

_w0

fit

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

• Fit model parameters.

  Parameters

  • x: number[][]

    Training data
  • 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: number[], y: -1 | 1): void

• Update model parameters with one data.

  Parameters

  • x: number[]

    Training data
  • y: -1 | 1

    Target value

  Returns void