microsoft / TagAnomaly
Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
Summary
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| Main Code: 533 LOC (7 files) = R (94%) + PY (3%) + YML (1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 171 LOC (2); |
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| Duplication: 2% | |||
| File Size: 0% long (>1000 LOC), 36% short (<= 200 LOC) | |||
| Unit Size: 83% long (>100 LOC), 5% short (<= 10 LOC) | |||
| Conditional Complexity: 83% complex (McCabe index > 50), 16% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (3 components) | ||
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3 years, 7 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2021-01-08
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(30 days)
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