feat/fix: Implement fallback mechanisms for cold-start metrics in evaluation pipeline (#1590)#1666
feat/fix: Implement fallback mechanisms for cold-start metrics in evaluation pipeline (#1590)#1666nyaminidurga-cmd wants to merge 9 commits into
Conversation
- Added text-overflow: ellipsis and white-space: nowrap to .rec-card__title - Fixes grid alignment issues caused by long titles wrapping to multiple lines - Closes leonagoel#1267
…luation pipeline (leonagoel#1590) - Added Python native `logging` configuration to the evaluation module to capture fallback alerts without disrupting the CI pipeline execution. - Implemented robust input validation guard clauses inside `_catalog_coverage` to safely intercept empty recommendation sequence blocks and prevent mathematical breakdowns. - Added explicit parameter safeguards to neutralize zero or negative denominator conditions (`catalog_size <= 0`), returning a standardized fallback value of 0.0. - Wrapped processing routines in structured try/except blocks to gracefully handle unexpected sparse user profiles during automated cold-start test iterations. Closes leonagoel#1590
|
🎉 Welcome to Hybrid Recommender, @nyaminidurga-cmd! This is your first contribution here! Labels added: PR Description Checklist: What happens next:
⏱️ Please respond to review comments within 48 hours. |
🎉 Welcome to Hybrid Recommender, @nyaminidurga-cmd!Thank you for your first pull request! Here's what happens next:
⏱️ Please respond to any review comments within 48 hours. 📖 Resources: Happy contributing! 🚀 |
|
🎉 Welcome to Hybrid Recommender, @nyaminidurga-cmd! This is your first contribution here! Labels added: PR Description Checklist: What happens next:
⏱️ Please respond to review comments within 48 hours. |
…luation pipeline (leonagoel#1590) - Added Python native `logging` configuration to the evaluation module to capture fallback alerts without disrupting the CI pipeline execution. - Implemented robust input validation guard clauses inside `_catalog_coverage` to safely intercept empty recommendation sequence blocks and prevent mathematical breakdowns. - Added explicit parameter safeguards to neutralize zero or negative denominator conditions (`catalog_size <= 0`), returning a standardized fallback value of 0.0. - Wrapped processing routines in structured try/except blocks to gracefully handle unexpected sparse user profiles during automated cold-start test iterations. Closes leonagoel#1590
…luation pipeline (leonagoel#1590) - Added Python native `logging` configuration to the evaluation module to capture fallback alerts without disrupting the CI pipeline execution. - Implemented robust input validation guard clauses inside `_catalog_coverage` to safely intercept empty recommendation sequence blocks and prevent mathematical breakdowns. - Added explicit parameter safeguards to neutralize zero or negative denominator conditions (`catalog_size <= 0`), returning a standardized fallback value of 0.0. - Wrapped processing routines in structured try/except blocks to gracefully handle unexpected sparse user profiles during automated cold-start test iterations. Closes leonagoel#1590
…luation pipeline (leonagoel#1590) - Added Python native `logging` configuration to the evaluation module to capture fallback alerts without disrupting the CI pipeline execution. - Implemented robust input validation guard clauses inside `_catalog_coverage` to safely intercept empty recommendation sequence blocks and prevent mathematical breakdowns. - Added explicit parameter safeguards to neutralize zero or negative denominator conditions (`catalog_size <= 0`), returning a standardized fallback value of 0.0. - Wrapped processing routines in structured try/except blocks to gracefully handle unexpected sparse user profiles during automated cold-start test iterations. Closes leonagoel#1590
|
🎉 Welcome to Hybrid Recommender, @nyaminidurga-cmd! This is your first contribution here! Labels added: PR Description Checklist: What happens next:
⏱️ Please respond to review comments within 48 hours. |
…luation pipeline (leonagoel#1590) ### 📝 What changed - Configured Python native `logging` inside the metrics module to cleanly output warning telemetry without disrupting automated CI processes. - Implemented robust defensive input-validation clauses within `_catalog_coverage` to prevent zero division and structural parsing failure over cold-start matrix states. - Cleaned duplicate function signatures and verified adherence to strict formatting baselines across processing code blocks. ### ❓ Why - Resolves unhandled mathematical exceptions caused by tracking empty recommendation sequences or zero/negative catalog sizes during test framework runs (leonagoel#1590). - Normalizes fallback metrics to return a safe baseline value of `0.0` instead of raising explicit pipeline processing errors. ### 🧪 How to test - Run the local testing pipeline: `pytest tests/test_e2e_api_suite.py` - Verify processing coverage output directly: `python src/evaluation/evaluation.py` Closes leonagoel#1590
|
🎉 Welcome to Hybrid Recommender, @nyaminidurga-cmd! This is your first contribution here! Labels added: PR Description Checklist: What happens next:
⏱️ Please respond to review comments within 48 hours. |
loggingconfiguration to the evaluation module to capture fallback alerts without disrupting the CI pipeline execution._catalog_coverageto safely intercept empty recommendation sequence blocks and prevent mathematical breakdowns.catalog_size <= 0), returning a standardized fallback value of 0.0.Closes #1590