Gradient boosting decision tree classifier

Hierarchy (View Summary)

Constructors

Properties

Accessors

Methods

Constructors

  • Parameters

    • Optionalmaxdepth: number

      Maximum depth of tree

    • Optionalsrate: number

      Sampling rate

    • Optionallr: number

      Learning rate

    Returns GBDTClassifier

Properties

_cls: any[]
_loss: Matrix<number[]>
_lr: number
_maxd: number
_r: any[]
_srate: number
_trees: any[]
_x: number[][]
_y: Matrix<number[]>

Accessors

  • get size(): number
  • Number of trees

    Returns number

Methods

  • Parameters

    • n: any

    Returns number[]

  • Fit model.

    Returns void

  • Initialize model.

    Parameters

    • x: number[][]

      Training data

    • y: any[]

      Target values

    Returns void

  • Returns predicted categories.

    Parameters

    • x: number[][]

      Sample data

    Returns any[]

    Predicted values