Package org.apache.ignite.examples.ml.preprocessing

Class ImputingExample

  • public class ImputingExample
extends java.lang.Object
    Example that shows how to use Imputing preprocessor to impute the missing value in the given data.

    Code in this example launches Ignite grid and fills the cache with simple test data.

    After that it defines preprocessors that extract features from an upstream data and impute missing values.

    Finally, it creates the dataset based on the processed data and uses Dataset API to find and output various statistical metrics of the data.

    You can change the test data used in this example and re-run it to explore this functionality further.

    • Constructor Summary

      Constructors 
      Constructor Description
      ImputingExample()  

    • 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

      • ImputingExample

        public ImputingExample()

    • Method Detail

      • main

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