Jatin0Jain/Redrob-Candidate-Ranker
chore: regenerate team_submission.csv using restored pipeline
revert: rollback to pre-XGBoost state (commit e9d97dc) with original rule-based heuristic
remove progress bar to fix stuck button on repeated clicks
fix demo: display pre-computed 100k ranking results instead of live re-run
add reasoning block per candidate using team_submission.csv as primary source
fix: add missing candidate_embeddings.npy and guard lazy-load against partial failures
upgrade demo to run full 100k ranking pipeline with lazy-loaded artifacts
replace sample candidates with real top-ranked AI/ML profiles for accurate demo
fix demo scoring: compute real sentence-transformer embeddings for semantic_score feature
add sample_candidates.json and sync app.py for demo to work correctly
upgrade: XGBoost ML ranker + consistent demo app
Upload requirements.txt
Upload requirements.txt
build gradio ui
add cached llm reasonings
core ranking logic
upload full 100k candidate dataset and parquet
add constants and deps
initial space setup
