📅 2024-04-15 — Session: Enhanced JavaScript Model Management Functions
🕒 20:35–21:25
🏷️ Labels: Javascript, API, Model Management, Web Development, Debugging
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance the JavaScript functions related to model management, focusing on updating table displays, aggregating model information, and preventing data duplication.
Key Activities
- Modified the
fetchModelInfofunction to append new rows to an existing table, ensuring all models are displayed without overwriting. - Implemented aggregation of model information from multiple API endpoints to provide comprehensive model details, including versions and metrics.
- Developed pseudo-code for initializing and populating a model information table with data fetched post-retraining.
- Refined JavaScript code in
app.jsfor model prediction, retraining, and information fetching, ensuring compatibility with HTML elements and MLflow server. - Addressed table row duplication issues by modifying JavaScript functions to prevent clearing of existing rows and avoid duplicate entries.
- Created a Graphviz DOT representation of the ML workflow, detailing component interactions.
- Debugged issues related to duplicate entries in the
fetchModelInfofunction. - Discussed state management strategies in JavaScript applications, focusing on local storage and server sessions.
Achievements
- Successfully updated JavaScript functions to improve model information management and display.
- Enhanced understanding of state management in JavaScript applications.
Pending Tasks
- Further testing of the modified
fetchModelInfofunction to ensure robustness against duplicate data entries. - Implementation of state management strategies discussed during the session.