Class ELMRegressor

Extreme learning machine regressor

Hierarchy

ELM
- ELMRegressor

Index

Constructors

Properties

_a _activation _b _beta _size _w

Methods

Constructors

constructor

new ELMRegressor(
    size: number[],
    activation?:
        | "gaussian"
        | "identity"
        | "elu"
        | "leaky_relu"
        | "sigmoid"
        | "softplus"
        | "softsign"
        | "tanh"
        | (arg0: number) => number,
): ELMRegressor
Parameters
- size: number[]
  Size of hidden layer
- Optionalactivation:
      | "gaussian"
      | "identity"
      | "elu"
      | "leaky_relu"
      | "sigmoid"
      | "softplus"
      | "softsign"
      | "tanh"
      | (arg0: number) => number
  Activation name
Returns ELMRegressor
Overrides ELM.constructor
- Defined in lib/model/elm.d.ts:43

Properties

_a

_a: any

_activation

_activation: any

_b

_beta

_beta: any

_size

_size: any

_w

Methods

fit

fit(x: number[][], y: number[][]): void
Fit model.
Parameters
- x: number[][]
  Training data
- y: number[][]
  Target values
Returns void
Overrides ELM.fit
- Defined in lib/model/elm.d.ts:49

predict

predict(x: number[][]): number[][]
Returns predicted values.
Parameters
- x: number[][]
  Sample data
Returns number[][]
Predicted values
Overrides ELM.predict
- Defined in lib/model/elm.d.ts:55