Class GDBOnTreesClassificationTrainerExample


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

    In this example dataset is created automatically by meander function f(x) = [sin(x) > 0].

    • 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

      • GDBOnTreesClassificationTrainerExample

        public GDBOnTreesClassificationTrainerExample()
    • Method Detail

      • main

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