0.0 Anomaly Score for larger dataSet-bitmap_detector
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Description
Dear Team,
I am using luminol for the larger dataset which has almost 25k rows and the issue is by using algorithm as "bitmap_detector" ,the anomaly score for the initial 200 values and the last 200 values remains as "0.0" even if there is some difference within the input values .
If we try to pass only those 200 values we receive some anomaly scores. please respond asap.
Thanks,
Prabhat
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the bitmap_detector behavior described for a dataset of about 25,000 rows, comparing anomaly scores for the initial and final 200 values with scores from those windows in isolation. The issue is done when the cause of the zero scores is identified and the detector produces appropriate scores for differences at the dataset boundaries.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100