Package edu.uci.jforestsx.config

Examples of edu.uci.jforestsx.config.TrainingConfig

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    super("Bagging");
  }

  public void init(ConfigHolder configHolder, int maxNumTrainInstances, int maxNumValidInstances, EvaluationMetric evaluationMetric)
      throws Exception {
    TrainingConfig trainingConfig = configHolder.getConfig(TrainingConfig.class);
    BaggingConfig baggingConfig = configHolder.getConfig(BaggingConfig.class);
   
    this.bagCount = baggingConfig.bagCount;
    this.baggingTrainFraction = baggingConfig.trainFraction;
    this.backfit = baggingConfig.backfitting;
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    trainPredictions = new double[maxNumTrainInstances];
    residuals = new double[maxNumTrainInstances];
    validPredictions = new double[maxNumValidInstances];

    TrainingConfig trainingConfig = configHolder.getConfig(TrainingConfig.class);
    printIntermediateValidMeasurements = trainingConfig.printIntermediateValidMeasurements;
    rnd = new Random(trainingConfig.randomSeed);
  }
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  public TreeLearner(String algorithmName) {
    super(algorithmName);
  }

  public void init(Dataset dataset, ConfigHolder configHolder, int maxTrainInstances) throws Exception {
    TrainingConfig trainingConfig = configHolder.getConfig(TrainingConfig.class);
    TreesConfig treesConfig = configHolder.getConfig(TreesConfig.class);

    minInstancePercentagePerLeaf = treesConfig.minInstancePercentagePerLeaf;
    maxLeaves = treesConfig.numLeaves;
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      ioUtils = new IOUtils();
    }
  }

  protected void loadConfig() {
    trainingConfig = new TrainingConfig();
    trainingConfig.init(configHolder);
  }
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Related Classes of edu.uci.jforestsx.config.TrainingConfig

  • edu.uci.jforestsx.applications.ClassificationApp
  • edu.uci.jforestsx.learning.bagging.Bagging
  • edu.uci.jforestsx.learning.boosting.GradientBoosting
  • edu.uci.jforestsx.learning.trees.TreeLearner
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