v0.2.0

• Update setup.py for more robust and maintainable package management.
• Update requirements to remove mealpy dependency.
• Update GitHub Actions workflows for testing and publishing.
• Update citation
• Update data_preparer module to include TimeSeriesDifferencer, FeatureEngineering, and DataTransformer classes.
• Update scaler module to include OneHotEncoder and LabelEncoder classes.

v0.1.0

[0.1.0] - Initial Release

The first official release of PyLWL includes the following features:

📁 Project Structure

• Added essential project files: CODE_OF_CONDUCT.md, MANIFEST.in, LICENSE, CITATION.cff, and requirements.txt
• Added structured layout for examples, tests, and documentation site

🧠 Core Modules

• Implemented shared utility modules:
  • verifier: for validating inputs and parameters
  • scaler: for feature normalization
  • scorer: for evaluation metrics
  • data_preparer: for dataset scaling and splitting
  • kernel: for defining and managing kernel functions

🧱 Base Framework

• Introduced BaseModel class in base_model.py for consistent model design and shared logic

🔍 Core Models

• Implemented classic locally weighted models in classic_lw.py:
  • LwClassifier: Locally Weighted Classifier
  • LwRegressor: Locally Weighted Regressor
• Implemented gradient descent-enhanced variants in gd_lw.py:
  • GdLwClassifier: Gradient-Descent Locally Weighted Classifier
  • GdLwRegressor: Gradient-Descent Locally Weighted Regressor

🚀 Tooling & Deployment

• Added GitHub Actions workflow for PyPI publishing
• Added working examples, test cases, and documentation starter site