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moa-flow

Simple workflow API for MOA.

Makes use of the reactive API that Java introduced with Java 9:

https://community.oracle.com/docs/DOC-1006738

Operators

The following operators are currently available:

Sources

Package: com.github.fracpete.moaflow.source

  • InstanceSource - generates instances using a stream generator

Transformers

Package: com.github.fracpete.moaflow.transformer

  • EvaluatorClassifier - evaluates a classifier
  • EvaluatorRegressor - evaluates a regressor
  • InstanceFilter - for filtering a data stream
  • TrainClassifier - for training a classifier
  • TrainRegressor - for training a regressor

Sinks

Package: com.github.fracpete.moaflow.sink

  • Console - simply outputs any objects it receives via toString()
  • DrawTable - draws a table
  • MeasurementPlot - for plotting a single measurement
  • MeasurementsToCSV - stores the measurements from an evaluation as CSV
  • MeasurementTableSawPlot - plots realtime chart on web-browser using Jupyter Notebook and IJava
  • OutputLearningCurve - outputs the whole learning curve of MOA in a table format
  • WriteModel - stores a model on disk

Examples

  • ClassificationCsvAndTrain -- evaluates a classifier, outputs the statistics in a CSV, also trains the model and stores it on disk
  • ClassificationPlot -- evaluates a classifier and plots a statistic.
  • RegressionCsvAndTrain -- filters the data, evaluates a regressor, outputs the statistics in a CSV, also trains the model and stores it on disk
  • RegressionPlot -- evaluates a regressor and plots a statistic.
  • RegressionConstructSaveLoadRun -- constructs, saves, loads and runs a flow that evaluates a regressor, outputs the statistics in a CSV, also trains the model and stores it on disk
  • ClassificationVariousSchemaTablePlot -- uses different evaluation schemes, output a table of learning curves and plots a statistic with TableSaw (only works with IJava and Jupyter Notebook)

Modules

  • moa-flow-core - core functionality
  • moa-flow-examples - example code
  • moa-flow-app - meta-module for generating binary .zip and .deb package

Build

  • compile

    mvn clean install -DskipTests=true

  • build .deb package

    mvn clean install deb:package -DskipTests=true