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Add window_size and pruning to the timeseries_anomalies.find_anomalies primitive #160

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csala opened this issue Apr 19, 2019 · 0 comments · Fixed by #169
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Add window_size and pruning to the timeseries_anomalies.find_anomalies primitive #160

csala opened this issue Apr 19, 2019 · 0 comments · Fixed by #169
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csala commented Apr 19, 2019

The mlprimitives.custom.timeseries_anomalies.find_anomalies primitive is missing two important points form the specification in the original paper that inspired the creation of this primitive:

  • A window_size argument to calculate the thresholds and find the anomalies in batches instead of using the whole sequence at once (called h in the paper)
  • An anomaly pruning step which is performed over the anomalous sequences found withing each of the windows derived from the previous point.

The implementation of this issue will cover #158 and #157

@csala csala added approved The issue is approved and someone can start working on it primitive improvement An improvement over an existing primitive new feature A new feature is being requested labels Apr 19, 2019
@csala csala self-assigned this Apr 20, 2019
@csala csala added this to the 0.1.10 milestone May 2, 2019
@csala csala closed this as completed in #169 May 2, 2019
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