Package org.apache.ignite.examples.ml.tutorial

Class Step_9_Scaling_With_Stacking

  • public class Step_9_Scaling_With_Stacking
extends java.lang.Object
    MinMaxScalerTrainer and NormalizationTrainer are used in this example due to different values distribution in columns and rows.

    Code in this example launches Ignite grid and fills the cache with test data (based on Titanic passengers data).

    After that it defines preprocessors that extract features from an upstream data and perform other desired changes over the extracted data, including the scaling.

    Then, it trains the model based on the processed data using decision tree classification.

    Finally, this example uses Evaluator functionality to compute metrics from predictions.

    • 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

      • Step_9_Scaling_With_Stacking

        public Step_9_Scaling_With_Stacking()

    • Method Detail

      • main

        public static void main​(java.lang.String[] args)
        Run example.