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update version to 2.0 (#266)
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Java/README.md

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point. The program output appends a column of anomaly scores to the input:
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```text
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$ java -cp core/target/randomcutforest-core-2.0-rc2.jar com.amazon.randomcutforest.runner.AnomalyScoreRunner < ../example-data/rcf-paper.csv > example_output.csv
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$ java -cp core/target/randomcutforest-core-2.0.jar com.amazon.randomcutforest.runner.AnomalyScoreRunner < ../example-data/rcf-paper.csv > example_output.csv
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$ tail example_output.csv
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-5.0029,0.0170,-0.0057,0.8129401629464965
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-4.9975,-0.0102,-0.0065,0.6591046054520615
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hyperparameters, using the `--help` flag:
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```text
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$ java -cp core/target/randomcutforest-core-2.0-rc2.jar com.amazon.randomcutforest.runner.AnomalyScoreRunner --help
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Usage: java -cp target/random-cut-forest-2.0-rc2.jar com.amazon.randomcutforest.runner.AnomalyScoreRunner [options] < input_file > output_file
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$ java -cp core/target/randomcutforest-core-2.0.jar com.amazon.randomcutforest.runner.AnomalyScoreRunner --help
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Usage: java -cp target/random-cut-forest-2.0.jar com.amazon.randomcutforest.runner.AnomalyScoreRunner [options] < input_file > output_file
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Compute scalar anomaly scores from the input rows and append them to the output rows.
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To invoke the full benchmark suite:
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```text
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% java -jar benchmark/target/randomcutforest-benchmark-2.0-rc2-jar-with-dependencies.jar
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% java -jar benchmark/target/randomcutforest-benchmark-2.0-jar-with-dependencies.jar
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```
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The full benchmark suite takes a long time to run. You can also pass a regex at the command-line, then only matching
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benchmark methods will be executed.
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```text
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% java -jar benchmark/target/randomcutforest-benchmark-2.0-rc2-jar-with-dependencies.jar RandomCutForestBenchmark\.updateAndGetAnomalyScore
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% java -jar benchmark/target/randomcutforest-benchmark-2.0-jar-with-dependencies.jar RandomCutForestBenchmark\.updateAndGetAnomalyScore
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```
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[rcf-paper]: http://proceedings.mlr.press/v48/guha16.pdf
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[rcf-paper]: http://proceedings.mlr.press/v48/guha16.pdf

Java/benchmark/pom.xml

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<parent>
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<groupId>software.amazon.randomcutforest</groupId>
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<artifactId>randomcutforest-parent</artifactId>
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<version>2.0-rc2</version>
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<version>${randomcutforest.version}</version>
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</parent>
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<artifactId>randomcutforest-benchmark</artifactId>

Java/core/pom.xml

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<parent>
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<groupId>software.amazon.randomcutforest</groupId>
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<artifactId>randomcutforest-parent</artifactId>
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<version>2.0-rc2</version>
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<version>${randomcutforest.version}</version>
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</parent>
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<artifactId>randomcutforest-core</artifactId>

Java/examples/pom.xml

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<parent>
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<groupId>software.amazon.randomcutforest</groupId>
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<artifactId>randomcutforest-parent</artifactId>
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<version>2.0-rc2</version>
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<version>${randomcutforest.version}</version>
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</parent>
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<artifactId>randomcutforest-examples</artifactId>
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</plugins>
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</build>
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</project>
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</project>

Java/pom.xml

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<groupId>software.amazon.randomcutforest</groupId>
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<artifactId>randomcutforest-parent</artifactId>
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<version>2.0-rc2</version>
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<version>${randomcutforest.version}</version>
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<packaging>pom</packaging>
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<name>software.amazon.randomcutforest:randomcutforest</name>
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<maven.compiler.source>1.8</maven.compiler.source>
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<maven.compiler.target>1.8</maven.compiler.target>
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<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
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<randomcutforest.version>2.0</randomcutforest.version>
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</properties>
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<modules>

Java/serialization/pom.xml

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<parent>
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<groupId>software.amazon.randomcutforest</groupId>
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<artifactId>randomcutforest-parent</artifactId>
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<version>2.0-rc2</version>
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<version>${randomcutforest.version}</version>
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</parent>
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<artifactId>randomcutforest-serialization</artifactId>
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<scope>test</scope>
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</dependency>
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</dependencies>
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</project>
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</project>

Java/testutils/pom.xml

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<parent>
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<artifactId>randomcutforest-parent</artifactId>
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<groupId>software.amazon.randomcutforest</groupId>
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<version>2.0-rc2</version>
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<version>${randomcutforest.version}</version>
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</parent>
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<artifactId>randomcutforest-testutils</artifactId>

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