📅 2024-04-14 — Session: Resolved OneHotEncoder and JavaScript Errors
🕒 18:40–19:45
🏷️ Labels: Onehotencoder, Javascript, Debugging, Preprocessing, Web Development
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary objective was to resolve several technical errors and improve data preprocessing and web application integration.
Key Activities
- OneHotEncoder Category Mismatch: Addressed a
ValueErrorin OneHotEncoder by troubleshooting category mismatches during transformation. - Preprocessor Inspection: Utilized Jupyter Notebook and joblib to inspect a preprocessor, ensuring its components were correctly loaded and applied.
- Debugging Preprocessing Issues: Implemented enhanced logging to diagnose preprocessing failures in machine learning pipelines.
- Feature Mismatch Resolution: Developed strategies to maintain consistent feature sets between training and prediction phases using OneHotEncoder.
- JavaScript and Flask Integration: Updated JavaScript and Flask integration to handle model name changes effectively.
- Plotly and Favicon Errors: Resolved ‘Plotly is not defined’ and favicon 404 errors by ensuring correct script inclusion and handling missing resources.
Achievements
- Successfully resolved category mismatch issues with OneHotEncoder.
- Improved logging for debugging preprocessing steps.
- Ensured consistent feature engineering in machine learning models.
- Updated JavaScript applications to handle new model names.
- Corrected Plotly and favicon errors in web development.
Pending Tasks
- Further testing of the updated JavaScript and Flask integration to ensure robustness.
- Continuous monitoring of preprocessing steps for potential future issues.