microsoft / hol-azure-machine-learning
Introduction to Machine Learning and Azure Machine Learning Services. Hands on labs to show Azure Machine Learning features, developing experiments, feature engineering, R and Python Scripting, Production stage, publishing models as web service, RRS and BES usage
Summary
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| Main Code: 5,644 LOC (52 files) = CSS (54%) + CSHTML (18%) + JS (14%) + CS (11%) + HTML (<1%) + PY (<1%) + R (<1%) + ASAX (<1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 388 LOC (1); Other: 1,317 LOC (13); |
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| Duplication: 26% | |||
| File Size: 20% long (>1000 LOC), 24% short (<= 200 LOC) | |||
| Unit Size: 8% long (>100 LOC), 46% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 97% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (14 components) | ||
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5 years, 9 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) | |||
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Features of interest:
TODOs
1 file |
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Latest commit date: 2021-01-05
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