Class ELMClassifier

constructor

• new ELMClassifier(
      size: number[],
      activation?:
          | "gaussian"
          | "identity"
          | "elu"
          | "leaky_relu"
          | "sigmoid"
          | "softplus"
          | "softsign"
          | "tanh"
          | ((arg0: number) => number),
  ): ELMClassifier

  Parameters

  • size: number[]

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

    Activation name

  Returns ELMClassifier

_classes

categories

• get categories(): any[]

  Category list

  Returns any[]

fit

• fit(x: number[][], y: any[]): void

  Fit model.

  Parameters

  • x: number[][]

    Training data
  • y: any[]

    Target values

  Returns void

predict

• predict(x: number[][]): any[]

  Returns predicted values.

  Parameters

  • x: number[][]

    Sample data

  Returns any[]

  Predicted values

probability

• probability(x: number[][]): number[][]

  Returns predicted probabilities.

  Parameters

  • x: number[][]

    Sample data

  Returns number[][]

  Predicted values