Packages

object QuadXELM_3L1 extends ModelFactory

The QuadXELM_3L1 companion object provides factory functions for buidling three-layer (one hidden layer) extreme learning machines. Note, 'rescale' is defined in ModelFactory in Model.scala.

Linear Supertypes
ModelFactory, Error, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. QuadXELM_3L1
  2. ModelFactory
  3. Error
  4. AnyRef
  5. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Value Members

  1. def allForms(x: MatriD): MatriD

    Create all forms/terms for each row/point placing them in a new matrix.

    Create all forms/terms for each row/point placing them in a new matrix.

    x

    the original un-expanded input/data matrix

    Definition Classes
    ModelFactory
  2. def apply(x: MatriD, y: VectoD, nz: Int, fname: Strings, hparam: HyperParameter, f0: AFF): QuadXELM_3L1

    Create an QuadXELM_3L1 for a data matrix and response vector.

    Create an QuadXELM_3L1 for a data matrix and response vector.

    x

    the input/data matrix

    y

    the output/response vector

    nz

    the number of nodes in hidden layer

    fname

    the feature/variable names

    hparam

    the hyper-parameters

    f0

    the activation function family for layers 1->2 (input to hidden)

  3. def apply(xy: MatriD, nz: Int = -1, fname: Strings = null, hparam: HyperParameter = null, f0: AFF = f_tanh): QuadXELM_3L1

    Create an QuadXELM_3L1 for a combined data-response matrix.

    Create an QuadXELM_3L1 for a combined data-response matrix.

    xy

    the combined input/data and output/response matrix

    nz

    the number of nodes in hidden layer

    fname

    the feature/variable names

    hparam

    the hyper-parameters

    f0

    the activation function family for layers 1->2 (input to hidden)

  4. val drp: (Int, Null, Null, AFF)
  5. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  6. def forms(xi: VectoD, k: Int, nt: Int): VectoD

    Given a vector/point 'v', compute the values for all of its forms/terms, returning them as a vector (assumes Regression with intercept).

    Given a vector/point 'v', compute the values for all of its forms/terms, returning them as a vector (assumes Regression with intercept). Override for expanded columns, e.g., QuadRegression.

    xi

    the vector/point (i-th row of x) for creating forms/terms

    k

    the number of features/predictor variables (not counting intercept)

    nt

    the number of terms

    Definition Classes
    ModelFactory
  7. def numTerms(k: Int): Int

    The number of terms/parameters in the model (assumes Regression with intercept.

    The number of terms/parameters in the model (assumes Regression with intercept. Override for expanded columns, e.g., QuadRegression.

    k

    the number of features/predictor variables (not counting intercept)

    Definition Classes
    ModelFactory
  8. def rescaleOff(): Unit

    Turn rescaling off.

    Turn rescaling off.

    Definition Classes
    ModelFactory
  9. def rescaleOn(): Unit

    Turn rescaling on.

    Turn rescaling on.

    Definition Classes
    ModelFactory