aws-samples / aws-research-workshops
This repo provides a managed SageMaker jupyter notebook with a number of notebooks for hands on workshops in data lakes, AI/ML, Batch, IoT, and Genomics.
Summary
     |
|||
| Main Code: 5,582 LOC (60 files) = PY (44%) + YAML (32%) + YML (9%) + JS (8%) + HTML (3%) + CSS (<1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 950 LOC (11); Other: 23,540 LOC (47); |
|||
| Duplication: 8% | |||
| File Size: 0% long (>1000 LOC), 39% short (<= 200 LOC) | |||
| Unit Size: 7% long (>100 LOC), 45% short (<= 10 LOC) | |||
| Conditional Complexity: 7% complex (McCabe index > 50), 67% simple (McCabe index <= 5) | |||
|
|
Logical Component Decomposition: primary (15 components) | ||
|
|
3 years, 1 month 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
2 files |
|||
Latest commit date: 2021-12-09
|
0
commits
(30 days)
0
contributors
(30 days) |
|