Examples of weakLearnerParams()

Examples of org.apache.spark.mllib.tree.configuration.BoostingStrategy.weakLearnerParams()

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    // Set parameters.
    //  Note: All features are treated as continuous.
    BoostingStrategy boostingStrategy = BoostingStrategy.defaultParams(algo);
    boostingStrategy.setNumIterations(10);
    boostingStrategy.weakLearnerParams().setMaxDepth(5);

    if (algo.equals("Classification")) {
      // Compute the number of classes from the data.
      Integer numClasses = data.map(new Function<LabeledPoint, Double>() {
        @Override public Double call(LabeledPoint p) {
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