Package org.apache.ignite.examples.ml.tree

Class DecisionTreeRegressionTrainerExample

  • public class DecisionTreeRegressionTrainerExample
extends java.lang.Object
    Example of using distributed DecisionTreeRegressionTrainer.

    Code in this example launches Ignite grid and fills the cache with generated test data points (sin(x) on interval [0, 10)).

    After that it creates classification trainer and uses it to train the model on the training set.

    Finally, this example loops over the test data points, applies the trained model, and compares prediction to expected outcome (ground truth).

    You can change the test data used in this example and re-run it to explore this algorithm further.

    • Method Summary

      All Methods Static Methods Concrete Methods 
      Modifier and Type Method Description
      static void main​(java.lang.String... args)
      Executes example.

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Constructor Detail

      • DecisionTreeRegressionTrainerExample

        public DecisionTreeRegressionTrainerExample()

    • Method Detail

      • main

        public static void main​(java.lang.String... args)
        Executes example.
        Parameters:
        args - Command line arguments, none required.