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add fixed in time rcf #138

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merged 1 commit into from
Feb 14, 2022
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@ylwu-amzn ylwu-amzn commented Feb 11, 2022

Signed-off-by: Yaliang Wu ylwu@amazon.com

Description

Integrate RCF to support anomaly detection on time-series data.

Related PR: aws/random-cut-forest-by-aws#298

Issues Resolved

#139

Check List

  • New functionality includes testing.
    • All tests pass
  • New functionality has been documented.
    • New functionality has javadoc added
  • Commits are signed per the DCO using --signoff

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
For more information on following Developer Certificate of Origin and signing off your commits, please check here.

Signed-off-by: Yaliang Wu <ylwu@amazon.com>
@ylwu-amzn ylwu-amzn requested review from a team, kaituo and jackiehanyang February 11, 2022 20:44
pointList.clear();
Map<String, Object> result = new HashMap<>();

AnomalyDescriptor process = forest.process(point, timestamp);
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process includes both score and update. How do you prevent training from happening?

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@ylwu-amzn ylwu-amzn Feb 12, 2022

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Thanks Kaituo, I have the same question and waiting for ML team's response. I created an issue to make this discussion open on RCF repo aws/random-cut-forest-by-aws#299

This PR is just to leverage we we have and follow the same way of AD plugin.

@ylwu-amzn ylwu-amzn merged commit cf1ee1a into opensearch-project:main Feb 14, 2022
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3 participants