TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Main Code: 28,226 LOC (261 files) = PY (99%) + IN (<1%) Secondary code: Test: 38,645 LOC (211); Generated: 0 LOC (0); Build & Deploy: 18 LOC (1); Other: 9,227 LOC (91); |
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Duplication: 11% | |||
File Size: 0% long (>1000 LOC), 50% short (<= 200 LOC) | |||
Unit Size: 6% long (>100 LOC), 40% short (<= 10 LOC) | |||
Conditional Complexity: 2% complex (McCabe index > 50), 61% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (21 components) | ||
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3 years, 3 months old
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9% 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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Latest commit date: 2022-02-02
11
commits
(30 days)
8
contributors
(30 days) |
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generated by sokrates.dev (configuration) on 2022-02-03