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aws / random-cut-forest-by-aws

An implementation of the Random Cut Forest data structure for sketching streaming data, with support for anomaly detection, density estimation, imputation, and more.
https://github.com/aws/random-cut-forest-by-aws
Apache License 2.0
206 stars 33 forks source link

increment to 3.0.1-SNAPSHOT #341

Closed amitgalitz closed 2 years ago

amitgalitz commented 2 years ago

Signed-off-by: Amit Galitzky amgalitz@amazon.com

Description of changes: Incrementing to 3.0.1-SNAPSHOT to establish development cycle for 3.0.1

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sudiptoguha commented 2 years ago

The last test failure was

seed = -7175460737317564971 2848 Error: Tests run: 15, Failures: 1, Errors: 0, Skipped: 0, Time elapsed: 318.064 s <<< FAILURE! - in com.amazon.randomcutforest.parkservices.ConsistencyTest 2849 Error: ImputeTest{TransformMethod}[5] Time elapsed: 0.154 s <<< FAILURE! 2850 org.opentest4j.AssertionFailedError: expected: <0.14309550159234466> but was: <0.14309286818370737>

The test is clearly ok in intent and the 10-6 should perhaps be updated to 10-5. But switching to the developer snapshot should be the first step in that process.