Package org.apache.ignite.examples.ml.regression.linear

Class LinearRegressionSGDTrainerExample

  • public class LinearRegressionSGDTrainerExample
extends java.lang.Object
    Run linear regression model based on based on stochastic gradient descent algorithm (LinearRegressionSGDTrainer) over cached dataset.

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

    After that it trains the linear regression model based on stochastic gradient descent algorithm using the specified data.

    Finally, this example loops over the test set of data points, applies the trained model to predict the target value and compares prediction to expected outcome (ground truth).

    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

      • LinearRegressionSGDTrainerExample

        public LinearRegressionSGDTrainerExample()

    • Method Detail

      • main

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