An implementation of the Random Cut Forest data structure for sketching streaming data, with support for anomaly detection, density estimation, imputation, and more.
Description of changes:
Fixing gpg signing as the official release script failed for 2.5 because it didn't recognize the mvn deploy command. Tried this fix locally with mvn install but no way to officially test it all the way as it would require actually releasing to staging first. took inspiration from change that was made in this PR, https://github.com/acm19/aws-request-signing-apache-interceptor/pull/44/files
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.
Description of changes: Fixing gpg signing as the official release script failed for 2.5 because it didn't recognize the mvn deploy command. Tried this fix locally with mvn install but no way to officially test it all the way as it would require actually releasing to staging first. took inspiration from change that was made in this PR, https://github.com/acm19/aws-request-signing-apache-interceptor/pull/44/files
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.