tensorflow / recommenders-addons

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

Summary
TPL
IN
email_034-attachment-send-file-code-cssCreated with Sketch.
Main Code: 65,633 LOC (230 files) = CUH (62%) + CC (8%) + PY (6%) + H (5%) + TPL (5%) + HPP (4%) + BZL (4%) + HH (2%) + DOCKERFILE (<1%) + IN (<1%)
Secondary code: Test: 6,325 LOC (22); Generated: 0 LOC (0); Build & Deploy: 656 LOC (31); Other: 3,084 LOC (45);
Artboard 48 Duplication: 42%
File Size: 28% long (>1000 LOC), 12% short (<= 200 LOC)
Unit Size: 11% long (>100 LOC), 39% short (<= 10 LOC)
Conditional Complexity: 4% complex (McCabe index > 50), 60% simple (McCabe index <= 5)
Logical Component Decomposition: primary (14 components)
files_time

1 year, 2 months old

  • 18% of code older than 365 days
  • 1% of code not updated in the past 365 days

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)
Straight_Line
Features of interest:
TODOs
8 files
Commits Trend

Latest commit date: 2022-01-19

6
commits
(30 days)
2
contributors
(30 days)
Commits

6

120

5

Contributors

2

18

3

2022 2021 2020
show commits trend per language
Reports
Analysis Report
Trend
Analysis Report
76_startup_sticky_notes
Notes & Findings
Links

generated by sokrates.dev (configuration) on 2022-02-03