CasualML
A Python Package for Uplift Modeling and Causal Inference with Machine Learning Algorithms.
Summary
| Main Code: 5,393 LOC = PY (100%) | ... | ||
| Duplication: 25% | ... | ||
| File Size: 0% long (>1000 LOC), 37% short (<= 200 LOC) | ... | ||
| Unit Size: 8% long (>100 LOC), 33% short (<= 20 LOC) | ... | ||
| Conditional Complexity: 7% complex (McCabe index > 25), 53% simple (McCabe index <= 5) | ... | ||
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Logical Component Decomposition: primary (7 components) | ... | |
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1 year, 2 months old
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| Goals: Keep the system simple and easy to change (4) | ... |
Contributors (23)
Recent Contributors (10 = 6 veterans + 4 rookies)
Contributed in past 6 months (a rookie = the first contribution in past year)
Past 30 days (2):
Past 31 to 90 days (8):
No contributors in past 91 to 180 days.
Historical Contributors (13)
Last contributed more than 6 months ago
Trend
| Commits |
129 |
61 |
| Contributors |
15 |
17 |
| 2019 | 2020 |
Reports
Analysis Report
Features of Interest
Analysis Report
Trend
Analysis Report
Notes & Findings