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

Class Step_2_Imputing

  • public class Step_2_Imputing
extends java.lang.Object
    Usage of ImputerTrainer to fill missed data (Double.NaN) values in the chosen columns.

    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 impute missing values.

    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.

    • Constructor Summary

      Constructors 
      Constructor Description
      Step_2_Imputing()  

    • 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_2_Imputing

        public Step_2_Imputing()

    • Method Detail

      • main

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