facebookresearch / svg
On the model-based stochastic value gradient for continuous reinforcement learning
Summary
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| Main Code: 3,101 LOC (35 files) = PY (92%) + YAML (7%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 384 LOC (6); |
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| Duplication: 6% | |||
| File Size: 0% long (>1000 LOC), 43% short (<= 200 LOC) | |||
| Unit Size: 13% long (>100 LOC), 46% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 58% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (5 components) | ||
| Goals: Keep the system simple and easy to change (4) | |||
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Features of interest:
TODOs
2 files |
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Reports
Analysis Report
Source Code Overview
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Components
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Duplication
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File Size
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Unit Size
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Conditional Complexity
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Features of Interest
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All Metrics
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Goals & Controls
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File Age
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File Change Frequency
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Temporal Dependencies
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Contributors
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Trend
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Notes & Findings
generated by sokrates.dev (configuration) on 2022-01-25