Extreme learning machine classifier

Hierarchy

  • ELM
    • ELMClassifier

Constructors

  • Parameters

    • size: number[]

      Size of hidden layer

    • Optionalactivation:
          | "gaussian"
          | "identity"
          | "elu"
          | "leaky_relu"
          | "sigmoid"
          | "softplus"
          | "softsign"
          | "tanh"
          | (arg0: number) => number

      Activation name

    Returns ELMClassifier

Properties

_a: any
_activation: any
_b: Matrix
_beta: any
_classes: any[]
_size: any
_w: Matrix

Accessors

  • get categories(): any[]
  • Category list

    Returns any[]

Methods

  • Fit model.

    Parameters

    • x: number[][]

      Training data

    • y: any[]

      Target values

    Returns void

  • Returns predicted values.

    Parameters

    • x: number[][]

      Sample data

    Returns any[]

    Predicted values

  • Returns predicted probabilities.

    Parameters

    • x: number[][]

      Sample data

    Returns number[][]

    Predicted values