Comments (2)
Thanks for the question. For an Apache 2.0 project, expansion to other languages is always a positive step. That being said there are resource constraints and multiple implementations are difficult to align. For example, even in this library, the Rust version has not gotten as much love as it should at the moment. So I am hesitant about making strong remarks about new languages. Contributions should always be welcome in an Apache 2.0 project and that continues to apply here.
For the immediate next steps (RCF 3.8, say next two PR or so) the plan is to add capabilities of automatic level shift detection which can suppress multiple anomalies (if desired -- the reverse, of paying attention to continuous anomalies, say for 3 or more readings is also a legitimate application -- this capability should be useful to either position ) with the reasons for suppression (explanations). These are standard in Stochastic control theory and predictor correctors (where the RCF predicts a raw score) and ThresholdedRCF (in ParkServices sub-package) corrects the raw RCF score in a more usable "designer's cut" of making a call on "anomaly/not anomaly" instead of just vending scores. This would hopefully address issue 390 and allow closure of the issue.
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cool,got it
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Related Issues (20)
- RCF 4.0
- C, Ruby, and PHP libraries + standalone CLI HOT 1
- Enable multicentroid clustering in Rust HOT 2
- Thresholded Random Cut Forest not detecting some anomalies with small gap HOT 2
- rust summarize_list error HOT 1
- rust summarize_list error HOT 3
- Clarification regarding Shingle size, number of samples per tree and threshold HOT 7
- Error when updating tree HOT 7
- How can I serialize the object RandomCutForest to array bytes? HOT 2
- Sample Size & Rust HOT 1
- Rust serialization HOT 2
- Performance regression in 3.5.1 when restoring state HOT 3
- Remove restrictions from outputAfter setting HOT 1
- Make pastValues independent of forecasts
- Reduce noise from streaming normalization HOT 2
- Incorrect foreast cast result HOT 2
- Rust panic HOT 8
- Revisit calibration in RCFCaster to improve forecasts near boundaries (and handle physical infeasibility, such as -ve values, etc.) HOT 1
- Addressing hyper-sensitivity for RCFs with homogenous observations HOT 8
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