Package org.apache.ignite.examples.ml.inference.spark.modelparser

Class LinearRegressionFromSparkExample

  • public class LinearRegressionFromSparkExample
extends java.lang.Object
    Run linear regression model loaded from snappy.parquet file. The snappy.parquet file was generated by Spark MLLib model.write.overwrite().save(..) operator.

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

    • Field Summary

      Fields 
      Modifier and Type Field Description
      static LearningEnvironment env
      Learning environment.
      static java.lang.String SPARK_MDL_PATH
      Path to Spark linear regression model.

    • 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

    • Field Detail

      • SPARK_MDL_PATH

        public static final java.lang.String SPARK_MDL_PATH
        Path to Spark linear regression model.
        See Also:
        Constant Field Values

    • Constructor Detail

      • LinearRegressionFromSparkExample

        public LinearRegressionFromSparkExample()

    • Method Detail

      • main

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