Metadata-Version: 2.4
Name: optiflowx
Version: 0.0.3
Summary: A modular optimization and machine learning workflow framework for automatic model selection, hyperparameter tuning, and performance benchmarking across diverse datasets.
Author-email: Billel <faycal213.dz@gmail.com>
Project-URL: Homepage, https://github.com/Faycal214/optiflowx
Project-URL: Repository, https://github.com/Faycal214/optiflowx
Project-URL: Issues, https://github.com/Faycal214/optiflowx/issues
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: tqdm
Requires-Dist: optuna
Requires-Dist: scikit-optimize
Requires-Dist: xgboost
Dynamic: license-file

# Hybrid Optimization Framework (starter)

Minimal starter with SearchSpace, ModelRegistry, SklearnWrapper, Genetic optimizer, ParallelExecutor, and OptimizationEngine.
