org.apache.flink.streaming.examples.ml

Class IncrementalLearningSkeleton

java.lang.Object

org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton

public class IncrementalLearningSkeleton
extends Object

Skeleton for incremental machine learning algorithm consisting of a pre-computed model, which gets updated for the new inputs and new input data for which the job provides predictions.

This may serve as a base of a number of algorithms, e.g. updating an incremental Alternating Least Squares model while also providing the predictions.

This example shows how to use:

• Connected streams
• CoFunctions
• Tuple data types

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	IncrementalLearningSkeleton.NewDataSource Feeds new data for prediction.
static class	IncrementalLearningSkeleton.PartialModelBuilder Builds up-to-date partial models on new training data.
static class	IncrementalLearningSkeleton.Predictor Creates prediction using the model produced in batch-processing and the up-to-date partial model.
static class	IncrementalLearningSkeleton.TrainingDataSource Feeds new training data for the partial model builder.

Constructor Summary

Constructors

Constructor and Description
IncrementalLearningSkeleton()

Method Summary

Methods

Modifier and Type	Method and Description
static void	main(String[] args)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

IncrementalLearningSkeleton

public IncrementalLearningSkeleton()

Method Detail

main

public static void main(String[] args)
                 throws Exception

Throws:

Exception