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A Java package to automatically detect anomalies in large scale time-series data

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Bumps log4j-core from 2.17.0 to 2.17.1. [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=org.apache.logging.log4j:log4j-core&package-manager=maven&previous-version=2.17.0&new-version=2.17.1)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a...

dependencies

Bumps log4j-api from 2.17.0 to 2.17.1. [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=org.apache.logging.log4j:log4j-api&package-manager=maven&previous-version=2.17.0&new-version=2.17.1)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a...

dependencies

Built a streaming olympic scoring package Built a directory model store Built some top level classes with main methods to train and invoke stored models for a stream of data...

https://github.com/yahoo/egads/blob/04d61d4b562763781dac0f2b41d6fdeb782a450f/src/main/java/com/yahoo/egads/models/adm/AdaptiveKernelDensityChangePointDetector.java#L145

https://github.com/yahoo/egads/blob/04d61d4b562763781dac0f2b41d6fdeb782a450f/src/main/java/com/yahoo/egads/Egads.java#L42 The program can potentially fail to release a system resource.

Hi Security Team, The build files indicate that this project is resolving dependencies over HTTP instead of HTTPS. Any of these artifacts could have been MITM to maliciously compromise them...

When I change the TS_MODEL to AutoForecastModel in config and run it on my data, it got stack overflow like this: ``` Exception in thread "main" java.lang.StackOverflowError at net.sourceforge.openforecast.models.TripleExponentialSmoothingModel.forecast(TripleExponentialSmoothingModel.java:673) at...

bug

Is the threshold selection used only in Outliers or in all three classes of anomalies?

https://github.com/yahoo/egads/blob/eb6c6e41afd84cc89b8ce964e88c41af469b74ba/src/main/java/com/yahoo/egads/control/DetectAnomalyProcessable.java#L57

Hi, I try to detect anomaly detection in time-series with last sales and forecast sales for next x weeks. The time-series have seasonality and holidays outliers. I have 3 years...