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
210 stars 33 forks source link

Implement a thresholded random cut forest runner #277

Closed cswiercz closed 2 years ago

cswiercz commented 2 years ago

A thresholded random cut forest runner is similar to the anomaly score runners of the core package. In addition to showing the anomaly score associated with a given input point, this new runner outputs the anomaly grade.

Issue #, if available:

n/a

Description of changes:

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sudiptoguha commented 2 years ago

Is there a reason to review when checks have failed. Also ThresholdedRunner s undergoing a refactoring. This runner is inappropriate at this time.