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: While using internal shingling, if the size of the store is small compared to the number of updates, then a new unshingled point can be stored as an incorrect new shingled point.
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Description of changes: While using internal shingling, if the size of the store is small compared to the number of updates, then a new unshingled point can be stored as an incorrect new shingled point.
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.