📅 2024-04-15 — Session: Enhanced JavaScript Model Management and Display

🕒 20:35–21:25
🏷️ Labels: Javascript, Web Development, API, Model Management, Graphviz
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session focused on enhancing the JavaScript code for managing and displaying model information, ensuring efficient data retrieval and display without duplication.

Key Activities:

  • Modified the fetchModelInfo function to append rows to an existing table, preventing replacement and ensuring all models are displayed.
  • Aggregated model information from API endpoints /api/models and /api/get-model-info to display a comprehensive list of trained models with versions and metrics.
  • Developed pseudo-code for initializing and populating a model info table with server-fetched data.
  • Refined JavaScript code in app.js for model prediction, retraining, and fetching model information, ensuring HTML element compatibility and MLflow server operation.
  • Implemented strategies to prevent table row duplication and manage state in JavaScript applications using local storage and server sessions.

Achievements:

  • Successfully updated the JavaScript functions to handle model information more robustly, preventing duplicate entries and ensuring efficient data display.
  • Created a Graphviz DOT representation of the ML workflow, detailing component interactions.

Pending Tasks:

  • Further debugging of duplicate entries in the fetchModelInfo function when called from API endpoints.
  • Explore additional state management strategies for enhanced application resilience.