Turn into more object oriented programming style where applicable (Run ID: kaspersgit_ml_2_sql_issue_51_2bfd1c88) #52
Conversation
![agentfarmx[bot]](https://avatars.githubusercontent.com/in/1138858?s=60&v=4){kind=small}
The commit refactors the modelcreater module to use object-oriented programming principles, introducing the ModelCreator class and a BaseModel abstract class for model implementations. This improves code organization, maintainability, and extensibility while maintaining backward compatibility through function wrappers for existing code.
|
Important Review skippedBot user detected. To trigger a single review, invoke the You can disable this status message by setting the Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media? 🪧 TipsChatThere are 3 ways to chat with CodeRabbit:
Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. CodeRabbit Commands (Invoked using PR comments)
Other keywords and placeholders
CodeRabbit Configuration File (
|
|
Tests are failing, adjust the PR such that they will pass |
This commit adds proper scikit-learn compatibility by implementing `__sklearn_tags__` in BaseModel and model subclasses. It also adds direct property accessors for model coefficients and improves model handling in SQL generation utilities.
|
✅ Fix: Resolved model compatibility issues in tests This commit updates the model training functions and SQL generation scripts to seamlessly handle both direct scikit-learn models and our custom model wrappers. It also adds the necessary |
agent_instance: kaspersgit_ml_2_sql_issue_51_2bfd1c88 Tries to fix: #51
🏗️ Refactoring: Enhanced code structure through object-oriented design
BaseModelabstract class with standardized interface for all model implementationsebm.py,decision_tree.py, andl_regression.pyto class-based implementationsModelFactorypattern and enhancedModelCreatorclass for better separation of concernsThe codebase is now more maintainable, easier to extend with new model types, and follows OOP principles while maintaining full backward compatibility. Please review these structural improvements!