Class LogRegFromSparkThroughPMMLExample


  • public class LogRegFromSparkThroughPMMLExample
    extends java.lang.Object
    Run logistic regression model loaded from PMML file. The PMML file was generated by Spark MLLib toPMML operator.

    Code in this example launches Ignite grid and fills the cache with test data points (based on the Iris dataset).

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

    • 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

      • LogRegFromSparkThroughPMMLExample

        public LogRegFromSparkThroughPMMLExample()
    • Method Detail

      • main

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