Package org.apache.ignite.examples.ml.environment

Class TrainingWithCustomPreprocessorsExample

  • public class TrainingWithCustomPreprocessorsExample
extends java.lang.Object
    This example demonstrates an ability of using custom client classes in cluster in case of absence of these classes on server nodes. Preprocessors (see Preprocessor, preprocessor trainers (see PreprocessingTrainer and vectorizers (see Vectorizer) can be defined in client code and deployed to server nodes during training phase.

    For demonstrating of deployment abilities of ml-related classes you can run this example with binary build. NOTE: This binary build should be run with copied basic ml libs from optional directory (ignite-ml at least).

    • 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

      • TrainingWithCustomPreprocessorsExample

        public TrainingWithCustomPreprocessorsExample()

    • Method Detail

      • main

        public static void main​(java.lang.String[] args)
                 throws java.lang.Exception
        Run example.
        Parameters:
        args - Command line arguments.
        Throws:
        java.lang.Exception - Exception.