| {"model_name":"MeteoNorm-RF","model_type":"meteonorm_rf","architectures":["MeteoNormRF"],"framework":"NumPy/PyTorch","domain":"air-quality","task":"meteorological-normalization","implementation":{"entry_point":"model/meteonorm_rf.py","scope":"core-method full-feature reduced-sample engineering reproduction","train_script":"scripts/train.py","inference_script":"scripts/inference.py","evaluation_script":"scripts/result.py","synthetic_data_script":"scripts/fake_data.py"},"architecture":{"input_features":21,"outputs":6,"engineering_trees":12,"paper_trees":"hundreds"},"data":{"dataset":"Beijing CNEM hourly air quality and meteorology","stations":12,"pollutants":["PM2.5","PM10","NO2","SO2","O3","CO"],"frequency":"hourly","synthetic":true},"configuration_sources":["conf/config.yaml","model/meteonorm_rf.py","scripts/fake_data.py","scripts/train.py","scripts/inference.py","scripts/result.py"]} | |