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62798505
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parameterize dual-axis hard-case weighting for low-risk experiments\n\nConstraint: Keep the training pipeline behavior stable while exposing humming_like and confused controls through config only\nRejected: Add a brand-new sampler framework first | The smallest useful step is config-driven control on the existing dataset weighting path\nConfidence: high\nScope-risk: narrow\nDirective: Run weight-search experiments through training.sample_type_weights and training.pair_type_weights before attempting broader training-stack refactors\nTested: py_compile passed, train.py dry-run on synthetic_v2 passed, and custom SongPairDataset weighting instantiation produced expected hard_weight output\nNot-tested: End-to-end retraining and metric improvements from new dual-axis weight combinations
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| ab_smoke_bucketed.py | Loading commit data... | |
| ab_smoke_segmentation.py | Loading commit data... | |
| build_business_project_manifests.py | Loading commit data... | |
| business_export_offline_smoke.py | Loading commit data... | |
| download_open_dataset.py | Loading commit data... | |
| export_manifest_to_pgvector_json.py | Loading commit data... | |
| fetch_fma_subset.py | Loading commit data... | |
| fma_postdownload_ready.py | Loading commit data... | |
| generate_artifacts.py | Loading commit data... | |
| internal_asset_type_mapper.py | Loading commit data... | |
| normalize_business_export.py | Loading commit data... | |
| pgvector_bulk_load_template.py | Loading commit data... | |
| prepare_fma_archive.py | Loading commit data... | |
| print_business_type_mapping.py | Loading commit data... | |
| service_smoke.py | Loading commit data... | |
| split_business_manifest_ready.py | Loading commit data... | |
| start_wait_for_fma_guard.sh | Loading commit data... | |
| status_snapshot.py | Loading commit data... | |
| wait_for_fma_and_prepare.py | Loading commit data... | |
| watch_fma_download.py | Loading commit data... |