地铁乘客流量预测（python）

[{"title":"（ 15 个子文件 36.32MB ） 地铁乘客流量预测（python）","children":[{"title":"Subway-passenger-flow-forecast-master","children":[{"title":"trainDataExplore.ipynb <span style='color:#111;'> 67.12KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 5.63KB </span>","children":null,"spread":false},{"title":"stacking.py <span style='color:#111;'> 5.12KB </span>","children":null,"spread":false},{"title":"feature_processing.py <span style='color:#111;'> 25.90KB </span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'> 18.09KB </span>","children":null,"spread":false},{"title":"temp_data","children":[{"title":"inout_train.csv <span style='color:#111;'> 12.81MB </span>","children":null,"spread":false},{"title":"date_fill.csv <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"inout_train_full_b.csv <span style='color:#111;'> 26.39MB </span>","children":null,"spread":false},{"title":"station_fill.csv <span style='color:#111;'> 2.91KB </span>","children":null,"spread":false},{"title":"TEST.csv <span style='color:#111;'> 7.85MB </span>","children":null,"spread":false},{"title":"inout_train_full_paytype.csv <span style='color:#111;'> 26.39MB </span>","children":null,"spread":false},{"title":"TRAIN.csv <span style='color:#111;'> 97.73MB </span>","children":null,"spread":false},{"title":"inout_train_full.csv <span style='color:#111;'> 15.89MB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 58B </span>","children":null,"spread":false},{"title":"main_baseline.py <span style='color:#111;'> 687B </span>","children":null,"spread":false}],"spread":true}],"spread":true}]