An interactive web application developed with Streamlit, designed for making predictions using various machine learning models. The app dynamically generates forms and pages from JSON configuration files. ⭐ If you found this helpful, consider starring the repo!
Logging Setup: A logging system is initialized at the beginning to record key steps in the workflow.
Logging for Important Events: Events like model training, predictions, and saving are logged for traceability.
Detailed Logs: Input data and prediction outputs are logged for easier debugging.
Model and Scaler Saving: When saving models and scalers, logging captures the save operation.
Logging Setup: A logging system is initialized at the beginning to record key steps in the workflow. Logging for Important Events: Events like model training, predictions, and saving are logged for traceability. Detailed Logs: Input data and prediction outputs are logged for easier debugging. Model and Scaler Saving: When saving models and scalers, logging captures the save operation.