Package Definition
- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 217
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
This is not really an issue but couple questions. The example code that calculates the anomaly scores e.g:
from luminol.anomaly_detector import AnomalyDetector
ts = {0: 0, 1: 0.5, 2: 1, 3: 1, 4: 1, 5: 0, 6: 0, 7: 0, 8: 0}
my_detector = AnomalyDetector(ts)
score = my_detector.get_all_scores()
for timestamp, value in score.iteritems():
print(timestamp, value)
Does it calculate the scores as they come like a real-time anomaly detection instead of looking at what the value is before? Is there a way to tune the parameters of the above code as well like the window size and chunk size? If so, how?
Thank you very much.
Contributor guide
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Research direction
Start by reviewing the AnomalyDetector example and the AnomalyDetector entry point in luminol.anomaly_detector. Determine whether the example supports real-time scoring and configurable window or chunk sizes, then document the supported behavior and usage if those answers can be established.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100