Class GDBOnTreesRegressionTrainerExample


  • public class GDBOnTreesRegressionTrainerExample
    extends java.lang.Object
    Example represents a solution for the task of regression learning based on Gradient Boosting on trees implementation. It shows an initialization of GDBRegressionOnTreesTrainer, initialization of Ignite Cache, learning step and comparing of predicted and real values.

    In this example dataset is created automatically by parabolic function f(x) = x^2.

    • Method Summary

      All Methods Static Methods Concrete Methods 
      Modifier and Type Method Description
      static void main​(java.lang.String... args)
      Run example.
      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

      • GDBOnTreesRegressionTrainerExample

        public GDBOnTreesRegressionTrainerExample()
    • Method Detail

      • main

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