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mloptimizer is an optimizing library designed to be used with sklearn interface machine learning algorithms. It uses deap library for genetic algorithm optimization of hyperparameters.

active 2023-09-17 → 2026-04-06 (UTC)

Complete coverage27,419 / 27,419 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-30 (UTC)
Events
390
Pushes
197
Pull requests
29
Issues
29
Stars
13
Forks
10

Activity over time

Daily event counts in the loaded window

Line chart, 933 days from 2023-09-17 to 2026-04-06. Pushes: 197 total, peak 13 in a day. Pull requests: 29 total, peak 9 in a day. Issues: 29 total, peak 15 in a day. Comments: 32 total, peak 8 in a day. Stars: 13 total, peak 4 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Caparrini260197276
Copilot13007
github-actions[bot]120012
codecov[bot]7007
javiag1010
pagonzal131010

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 13 stars here means stars gained during the window, not the repo's star count.