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

Best Java code snippets using weka.classifiers.functions.SGD.updateClassifier (Showing top 6 results out of 315)

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private void myMethod () {
 ScheduledThreadPoolExecutor s =new ScheduledThreadPoolExecutor(corePoolSize)
ThreadFactory threadFactory;new ScheduledThreadPoolExecutor(corePoolSize, threadFactory)
String str;new ScheduledThreadPoolExecutor(1, new ThreadFactoryBuilder().setNameFormat(str).build())
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}

/**
 * Updates the classifier with the given instance.
 * 
 * @param instance the new training instance to include in the model
 * @exception Exception if the instance could not be incorporated in the
 *              model.
 */
@Override
public void updateClassifier(Instance instance) throws Exception {
 updateClassifier(instance, true);
}

/**
 * Updates the classifier with the given instance.
 * 
 * @param instance the new training instance to include in the model
 * @exception Exception if the instance could not be incorporated in the
 *              model.
 */
@Override
public void updateClassifier(Instance instance) throws Exception {
 updateClassifier(instance, true);
}

private void train(Instances data) throws Exception {
 for (int e = 0; e < m_epochs; e++) {
  for (int i = 0; i < data.numInstances(); i++) {
   updateClassifier(data.instance(i), false);
  }
 }
}

private void train(Instances data) throws Exception {
 for (int e = 0; e < m_epochs; e++) {
  for (int i = 0; i < data.numInstances(); i++) {
   updateClassifier(data.instance(i), false);
  }
 }
}

DenseInstance metaI = new DenseInstance(instance.weight(), vals);
metaI.setDataset(m_fitLogisticStructure);
m_svmProbs.updateClassifier(metaI);

DenseInstance metaI = new DenseInstance(instance.weight(), vals);
metaI.setDataset(m_fitLogisticStructure);
m_svmProbs.updateClassifier(metaI);

Javadoc

Updates the classifier with the given instance.

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
dloss
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.

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How to use updateClassifiermethodin weka.classifiers.functions.SGD

Best Java code snippets using weka.classifiers.functions.SGD.updateClassifier (Showing top 6 results out of 315)

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