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RandomForest.getNumDecimalPlaces
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How to use
getNumDecimalPlaces
method
in
weka.classifiers.trees.RandomForest

Best Java code snippets using weka.classifiers.trees.RandomForest.getNumDecimalPlaces (Showing top 2 results out of 315)

origin: Waikato/weka-trunk

.append(
 Utils.doubleToString(impurityScores[index], 10,
  getNumDecimalPlaces())).append(" (")
.append(Utils.doubleToString(nodeCounts[index], 6, 0))
.append(")  ").append(m_data.attribute(index).name())
origin: nz.ac.waikato.cms.weka/weka-stable

.append(
 Utils.doubleToString(impurityScores[index], 10,
  getNumDecimalPlaces())).append(" (")
.append(Utils.doubleToString(nodeCounts[index], 6, 0))
.append(")  ").append(m_data.attribute(index).name())
weka.classifiers.treesRandomForestgetNumDecimalPlaces

Popular methods of RandomForest

  • <init>
    Constructor that sets base classifier for bagging to RandomTre and default number of iterations to 1
  • computeAverageImpurityDecreasePerAttribute
    Computes the average impurity decrease per attribute over the trees
  • defaultClassifierString
    String describing default classifier.
  • defaultNumberOfIterations
    The default number of iterations to perform.
  • getBagSizePercent
  • getCalcOutOfBag
  • getClassifier
  • getComputeAttributeImportance
    Get whether to compute and output attribute importance scores
  • getDoNotCheckCapabilities
  • getNumExecutionSlots
  • getNumIterations
  • getOutputOutOfBagComplexityStatistics
  • getNumIterations,
  • getOutputOutOfBagComplexityStatistics,
  • getPrintClassifiers,
  • getStoreOutOfBagPredictions,
  • getTechnicalInformation,
  • runClassifier,
  • setBagSizePercent,
  • setBatchSize,
  • setCalcOutOfBag

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