Primal Estimated sub-GrAdientSOlver for SVM

Constructors

Properties

Methods

Constructors

  • Parameters

    • rate: number

      Learning rate

    • Optionalk: number

      Batch size

    Returns Pegasos

Properties

_b: any
_do_projection: boolean
_itr: number
_k: number
_r: number
_t: number
_w: any
_x: number[][]
_y: (-1 | 1)[]

Methods

  • Fit model parameters.

    Returns void

  • Initialize this model.

    Parameters

    • train_x: number[][]

      Training data

    • train_y: (-1 | 1)[]

      Target values

    Returns void

  • Returns predicted values.

    Parameters

    • data: number[][]

      Sample data

    Returns (-1 | 1)[]

    Predicted values

  • Update model parameters with some data.

    Parameters

    • x: number[][]

      Training data

    • y: (-1 | 1)[]

      Target value

    Returns void