Class AggressiveROMMA

_w

_w0

_mistake

• _mistake(m: any, y: any): boolean

  Parameters

  • m: any
  • y: any

  Returns boolean

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