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Bump RCF Version and Fix Default Rules Bug in AnomalyDetector
* Updated RCF version to the latest release. * Fixed a bug in AnomalyDetector where default rules were not applied when the user provided an empty ruleset. Testing: * Added unit tests to cover the bug fix Signed-off-by: Kaituo Li <[email protected]>
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/* | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
*/ | ||
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package org.opensearch.ad.ml; | ||
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import java.io.IOException; | ||
import java.util.ArrayList; | ||
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import org.opensearch.ad.model.AnomalyDetector; | ||
import org.opensearch.test.OpenSearchTestCase; | ||
import org.opensearch.timeseries.TestHelpers; | ||
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import com.amazon.randomcutforest.parkservices.ThresholdedRandomCutForest; | ||
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public class ADColdStartTests extends OpenSearchTestCase { | ||
private int baseDimensions = 1; | ||
private int shingleSize = 8; | ||
private int dimensions; | ||
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@Override | ||
public void setUp() throws Exception { | ||
super.setUp(); | ||
dimensions = baseDimensions * shingleSize; | ||
} | ||
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/** | ||
* Test if no explicit rule is provided, we apply 20% rule. | ||
* @throws IOException when failing to constructor detector | ||
*/ | ||
public void testEmptyRule() throws IOException { | ||
AnomalyDetector detector = TestHelpers.AnomalyDetectorBuilder.newInstance(1).setRules(new ArrayList<>()).build(); | ||
ThresholdedRandomCutForest.Builder builder = new ThresholdedRandomCutForest.Builder<>() | ||
.dimensions(dimensions) | ||
.shingleSize(shingleSize); | ||
ADColdStart.applyRule(builder, detector); | ||
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ThresholdedRandomCutForest forest = builder.build(); | ||
double[] ignore = forest.getPredictorCorrector().getIgnoreNearExpected(); | ||
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// Specify a small delta for floating-point comparison | ||
double delta = 1e-6; | ||
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assertArrayEquals("The double arrays are not equal", new double[] { 0, 0, 0.2, 0.2 }, ignore, delta); | ||
} | ||
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public void testNullRule() throws IOException { | ||
AnomalyDetector detector = TestHelpers.AnomalyDetectorBuilder.newInstance(1).setRules(null).build(); | ||
ThresholdedRandomCutForest.Builder builder = new ThresholdedRandomCutForest.Builder<>() | ||
.dimensions(dimensions) | ||
.shingleSize(shingleSize); | ||
ADColdStart.applyRule(builder, detector); | ||
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ThresholdedRandomCutForest forest = builder.build(); | ||
double[] ignore = forest.getPredictorCorrector().getIgnoreNearExpected(); | ||
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// Specify a small delta for floating-point comparison | ||
double delta = 1e-6; | ||
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assertArrayEquals("The double arrays are not equal", new double[] { 0, 0, 0.2, 0.2 }, ignore, delta); | ||
} | ||
} |
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