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.

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ModelFactory, Error, AnyRef, Any
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Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
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  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
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  4. 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
  5. 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

  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  10. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  11. 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
  12. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  14. val hp: HyperParameter
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. final def notify(): Unit
    Definition Classes
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    @native() @HotSpotIntrinsicCandidate()
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
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    @native() @HotSpotIntrinsicCandidate()
  19. 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
  20. val rescale: Boolean

    The 'rescale' flag indicated whether the data is to be rescaled/normalized

    The 'rescale' flag indicated whether the data is to be rescaled/normalized

    Attributes
    protected
    Definition Classes
    ModelFactory
  21. def rescaleOff(): Unit

    Turn rescaling off.

    Turn rescaling off.

    Definition Classes
    ModelFactory
  22. def rescaleOn(): Unit

    Turn rescaling on.

    Turn rescaling on.

    Definition Classes
    ModelFactory
  23. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  24. def toString(): String
    Definition Classes
    AnyRef → Any
  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  26. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  27. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
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    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

Inherited from ModelFactory

Inherited from Error

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