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

Best Java code snippets using weka.classifiers.functions.SGD.buildClassifier (Showing top 2 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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}

protected void initializeSVMProbs(Instances data) throws Exception {
 m_svmProbs = new SGD();
 m_svmProbs.setLossFunction(new SelectedTag(SGD.LOGLOSS, TAGS_SELECTION));
 m_svmProbs.setLearningRate(m_learningRate);
 m_svmProbs.setLambda(m_lambda);
 m_svmProbs.setEpochs(m_epochs);
 ArrayList<Attribute> atts = new ArrayList<Attribute>(2);
 atts.add(new Attribute("pred"));
 ArrayList<String> attVals = new ArrayList<String>(2);
 attVals.add(data.classAttribute().value(0));
 attVals.add(data.classAttribute().value(1));
 atts.add(new Attribute("class", attVals));
 m_fitLogisticStructure = new Instances("data", atts, 0);
 m_fitLogisticStructure.setClassIndex(1);
 m_svmProbs.buildClassifier(m_fitLogisticStructure);
}

protected void initializeSVMProbs(Instances data) throws Exception {
 m_svmProbs = new SGD();
 m_svmProbs.setLossFunction(new SelectedTag(SGD.LOGLOSS, TAGS_SELECTION));
 m_svmProbs.setLearningRate(m_learningRate);
 m_svmProbs.setLambda(m_lambda);
 m_svmProbs.setEpochs(m_epochs);
 ArrayList<Attribute> atts = new ArrayList<Attribute>(2);
 atts.add(new Attribute("pred"));
 ArrayList<String> attVals = new ArrayList<String>(2);
 attVals.add(data.classAttribute().value(0));
 attVals.add(data.classAttribute().value(1));
 atts.add(new Attribute("class", attVals));
 m_fitLogisticStructure = new Instances("data", atts, 0);
 m_fitLogisticStructure.setClassIndex(1);
 m_svmProbs.buildClassifier(m_fitLogisticStructure);
}

Javadoc

Method for building the classifier.

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.
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.
getEpochs
Get current number of epochs

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How to use buildClassifiermethodin weka.classifiers.functions.SGD

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

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