ML-Hyperparameter-Optimizer dev-sire · COMPLETED
This web app was created to simplify the process of tuning machine learning models. It provides a clean and interactive interface to perform hyperparameter optimization for regression tasks using the Random Forest algorithm.
github.com/dev-sire/ML-Hyperparameter-Optimizer · ★ 5 · Forks 0 · Size 65 KB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 6
Skips 0
COVERAGE
Analyzed 7 files · 14 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 54
1 files · PRODUCTION
pandas LIBRARY Depth 54
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2021-01-03
Last commit 2025-06-04
Active months 5
Commits 14