v0.1.0

Initial release.

• save() / load() for fitted sklearn estimators
• Supported: linear models, MLP, DecisionTree, RandomForest, GradientBoosting, HistGradientBoosting, GaussianProcess, TransformedTargetRegressor, scalers, pipelines
• Optional: LightGBM, XGBoost
• Output: safetensors (arrays) + JSON (hyperparameters, state)
• Version tracking: warns when loading with a different sklearn/lightgbm/xgboost version
• CI: Python 3.11-3.13, sklearn 1.5/1.6/latest, nightly