tensorflow / decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Summary
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| Main Code: 10,061 LOC (62 files) = PY (48%) + CC (39%) + H (6%) + JS (2%) + BZL (1%) + PROTO (<1%) + CFG (<1%) + IN (<1%) Secondary code: Test: 3,814 LOC (22); Generated: 0 LOC (0); Build & Deploy: 211 LOC (7); Other: 5,281 LOC (21); |
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| Duplication: 11% | |||
| File Size: 23% long (>1000 LOC), 17% short (<= 200 LOC) | |||
| Unit Size: 19% long (>100 LOC), 35% short (<= 10 LOC) | |||
| Conditional Complexity: 6% complex (McCabe index > 50), 49% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (14 components) | ||
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8 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: 2022-02-01
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13
commits
(30 days)
4
contributors
(30 days) |
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