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.github/workflows/capymoa.yml

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name: Package Jar for CapyMOA
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name: CapyMOA Test and Package
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on:
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push:
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steps:
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- uses: actions/checkout@v4
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- name: Set up JDK 17
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# TODO: moa tests are sensitive to java versions https://github.com/Waikato/moa/issues/273
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- name: Set up JDK 21
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uses: actions/setup-java@v4
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with:
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java-version: '17'
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distribution: 'temurin'
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java-version: '21'
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distribution: 'zulu'
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cache: maven
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- name: Build with Maven
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- name: Version
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working-directory: ./moa
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run: mvn -v
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- name: Unit Tests
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working-directory: ./moa
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# -B: non-interactive (batch) mode
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# -q: quiet output
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run: mvn -B -q test
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- name: Package Jar
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working-directory: ./moa
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# no tests
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run: mvn -B package --file pom.xml -DskipTests
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# -B: non-interactive (batch) mode
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# -DskipTests: skip tests (they were run earlier)
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# -Dmaven.javadoc.skip=true: skip javadoc generation
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# -Dlatex.skipBuild=true: skip latex documentation build this needs extra dependencies
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run: mvn -B package -DskipTests -Dmaven.javadoc.skip=true -Dlatex.skipBuild=true
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# Upload jar file as artifact
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- name: Upload artifact

CapyMOA.md

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# CapyMOA
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CapyMOA is a datastream learning framework that integrates the [Massive Online Analysis
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(MOA)](https://moa.cms.waikato.ac.nz/) library with the python ecosystem.
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To build MOA for use with CapyMOA run:
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```bash
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cd moa
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mvn package -DskipTests -Dmaven.javadoc.skip=true -Dlatex.skipBuild=true
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```
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This will create a `target/moa-*-jar-with-dependencies.jar` file that can be used by
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CapyMOA. To let CapyMOA know where this file is, set the `CAPYMOA_MOA_JAR` environment
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variable to the path of this file.
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You can do this temporarily in your terminal session with:
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```bash
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export CAPYMOA_MOA_JAR=/path/to/moa/target/moa-*-jar-with-dependencies.jar
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```
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To check that CapyMOA can find MOA, run:
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```bash
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python -c "import capymoa; capymoa.about()"
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# CapyMOA 0.10.0
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# CAPYMOA_DATASETS_DIR: .../datasets
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# CAPYMOA_MOA_JAR: .../moa/moa/target/moa-2024.07.2-SNAPSHOT-jar-with-dependencies.jar
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# CAPYMOA_JVM_ARGS: ['-Xmx8g', '-Xss10M']
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# JAVA_HOME: /usr/lib/jvm/java-21-openjdk
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# MOA version: aa955ebbcbd99e9e1d19ab16582e3e5a6fca5801ba250e4d164c16a89cf798ea
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# JAVA version: 21.0.7
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```

moa/src/test/java/moa/classifiers/deeplearning/CANDTest.java

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*/
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package moa.classifiers.deeplearning;
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import org.junit.Ignore;
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import junit.framework.Test;
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import junit.framework.TestSuite;
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import moa.classifiers.AbstractMultipleClassifierTestCase;
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* @author Nuwan Gunasekara (ng98 at students dot waikato dot ac dot nz)
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* @version $Revision$
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*/
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// TODO: test fails on GitHub runner but not locally (https://github.com/Waikato/moa/issues/322)
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// potentially hardware related
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@Ignore
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public class CANDTest
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extends AbstractMultipleClassifierTestCase {
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moa/src/test/java/moa/classifiers/deeplearning/MLPTest.java

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*/
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package moa.classifiers.deeplearning;
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import org.junit.Ignore;
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import junit.framework.Test;
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import junit.framework.TestSuite;
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import moa.classifiers.AbstractMultipleClassifierTestCase;
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* @author Nuwan Gunasekara (ng98 at students dot waikato dot ac dot nz)
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* @version $Revision$
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*/
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// TODO: test fails on GitHub runner but not locally (https://github.com/Waikato/moa/issues/322)
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// potentially hardware related
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@Ignore
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public class MLPTest
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extends AbstractMultipleClassifierTestCase {
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moa/src/test/java/moa/classifiers/meta/HerosTest.java

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This file was deleted.

moa/src/test/java/moa/test/MoaTestCase.java

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* @return the class that is being tested or null if none could
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* be determined
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*/
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protected Class getTestedClass() {
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Class result;
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result = null;
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if (getClass().getName().endsWith("Test")) {
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try {
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result = Class.forName(getClass().getName().replaceAll("Test$", ""));
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}
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catch (Exception e) {
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result = null;
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}
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protected Class getTestedClass() throws ClassNotFoundException {
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if (!getClass().getName().endsWith("Test")) {
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throw new IllegalStateException("Class name must end with 'Test': " + getClass().getName());
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}
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return result;
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return Class.forName(getClass().getName().replaceAll("Test$", ""));
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}
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/**
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*/
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@Override
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protected void setUp() throws Exception {
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Class cls;
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super.setUp();
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cls = getTestedClass();
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if (cls != null)
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m_Regression = new Regression(cls);
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m_Regression = new Regression(getTestedClass());
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m_TestHelper = newTestHelper();
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m_Headless = Boolean.getBoolean(PROPERTY_HEADLESS);
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m_NoRegressionTest = Boolean.getBoolean(PROPERTY_NOREGRESSION);

moa/src/test/resources/moa/classifiers/trees/AdaHoeffdingOptionTree.ref

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30000
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Votes
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0: 3.612203649887567E14
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1: 1.24768970176524544E17
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1: 1.2476897017652454E17
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Measurements
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classified instances: 29999
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classifications correct (percent): 85.57618587

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