aws / random-cut-forest-by-aws
An implementation of the Random Cut Forest data structure for sketching streaming data, with support for anomaly detection, density estimation, imputation, and more.
Summary
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| Main Code: 14,246 LOC (151 files) = JAVA (77%) + RS (22%) + TOML (<1%) | |||
| Duplication: 11% | |||
| File Size: 0% long (>1000 LOC), 51% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 63% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 74% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (21 components) | ||
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2 years, 5 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: 2022-01-28
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9
commits
(30 days)
2
contributors
(30 days) |
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