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SGD.dloss
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How to use
dloss
method
in
weka.classifiers.functions.SGD

Best Java code snippets using weka.classifiers.functions.SGD.dloss (Showing top 2 results out of 315)

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private void myMethod () {
 ScheduledThreadPoolExecutor s =
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}
origin: nz.ac.waikato.cms.weka/weka-stable

double factor = m_learningRate * y * dloss(z);
origin: Waikato/weka-trunk

double factor = m_learningRate * y * dloss(z);
weka.classifiers.functionsSGDdloss

Popular methods of SGD

  • <init>
  • setDontNormalize
    Turn normalization off/on.
  • setDontReplaceMissing
    Turn global replacement of missing values off/on. If turned off, then missing values are effectively
  • setEpochs
    Set the number of epochs to use
  • setLearningRate
    Set the learning rate.
  • buildClassifier
    Method for building the classifier.
  • distributionForInstance
    Computes the distribution for a given instance
  • dotProd
  • getCapabilities
    Returns default capabilities of the classifier.
  • getDontNormalize
    Get whether normalization has been turned off.
  • getDontReplaceMissing
    Get whether global replacement of missing values has been disabled.
  • getEpochs
    Get current number of epochs
  • getDontReplaceMissing,
  • getEpochs,
  • getEpsilon,
  • getLambda,
  • getLearningRate,
  • getLossFunction,
  • getSeed,
  • getWeights,
  • reset

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