awslabs / autogluon
AutoGluon: AutoML for Text, Image, and Tabular Data
Summary
 |
|||
| Main Code: 27,748 LOC (282 files) = PY (99%) + CFG (<1%) Secondary code: Test: 4,296 LOC (73); Generated: 0 LOC (0); Build & Deploy: 9 LOC (1); Other: 2,247 LOC (21); |
|||
| Duplication: 8% | |||
| File Size: 15% long (>1000 LOC), 39% short (<= 200 LOC) | |||
| Unit Size: 11% long (>100 LOC), 43% short (<= 10 LOC) | |||
| Conditional Complexity: 12% complex (McCabe index > 50), 40% simple (McCabe index <= 5) | |||
|
|
Logical Component Decomposition: primary (17 components) | ||
|
|
2 years, 8 months old
|
||
|
|
0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
||
| Goals: Keep the system simple and easy to change (4) | |||
|
Features of interest:
TODOs
100 files |
|||
Latest commit date: 2022-01-27
|
30
commits
(30 days)
6
contributors
(30 days) |
|