Packages

object NeuralNet_Classif_XL extends ModelFactory

The NeuralNet_Classif_XL companion object provides factory functions for buidling three-layer (one hidden layer) neural network classifiers. Note, 'rescale' is defined in ModelFactory in Model.scala.

Linear Supertypes
ModelFactory, Error, AnyRef, Any
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  1. NeuralNet_Classif_XL
  2. ModelFactory
  3. Error
  4. AnyRef
  5. Any
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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: VectoI, nz: Array[Int] = null, fname: Strings = null, hparam: HyperParameter = hp, f: Array[AFF] = Array (f_tanh, f_tanh, f_sigmoid)): NeuralNet_Classif_XL

    Create a NeuralNet_XL for a data matrix and response vector.

    Create a NeuralNet_XL for a data matrix and response vector.

    x

    the input/data matrix

    y

    the output/response vector

    nz

    the number of nodes in each hidden layer, e.g., Array (9, 8) => 2 hidden of sizes 9 and 8

    hparam

    the hyper-parameters for the model/network

    f

    the array of activation function families between every pair of layers

  3. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  4. 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
  5. val hp: HyperParameter
  6. 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
  7. def rescaleOff(): Unit

    Turn rescaling off.

    Turn rescaling off.

    Definition Classes
    ModelFactory
  8. def rescaleOn(): Unit

    Turn rescaling on.

    Turn rescaling on.

    Definition Classes
    ModelFactory