[{"title":"( 62 个子文件 90.04MB ) learner-performance-prediction:学习者成绩预测算法的简单高效的实现","children":[{"title":"learner-performance-prediction-master","children":[{"title":".gitignore <span style='color:#111;'> 22B </span>","children":null,"spread":false},{"title":"model_ffw.py <span style='color:#111;'> 427B </span>","children":null,"spread":false},{"title":"train_sakt.py <span style='color:#111;'> 9.48KB </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 89B </span>","children":null,"spread":false},{"title":"data","children":[{"title":"assistments15","children":[{"title":"preprocessed_data_train.csv <span style='color:#111;'> 7.45MB </span>","children":null,"spread":false},{"title":"preprocessed_data_test.csv <span style='color:#111;'> 1.86MB </span>","children":null,"spread":false},{"title":"preprocessed_data.csv <span style='color:#111;'> 13.48MB </span>","children":null,"spread":false},{"title":"q_mat.npz <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false}],"spread":true},{"title":"assistments17_single_attempt","children":[{"title":"preprocessed_data_train.csv <span style='color:#111;'> 7.91MB </span>","children":null,"spread":false},{"title":"preprocessed_data_test.csv <span style='color:#111;'> 2.01MB </span>","children":null,"spread":false},{"title":"preprocessed_data.csv <span style='color:#111;'> 9.92MB </span>","children":null,"spread":false},{"title":"q_mat.npz <span style='color:#111;'> 7.38KB </span>","children":null,"spread":false}],"spread":true},{"title":"assistments09","children":[{"title":"preprocessed_data_train.csv <span style='color:#111;'> 3.56MB </span>","children":null,"spread":false},{"title":"preprocessed_data_test.csv <span style='color:#111;'> 962.15KB </span>","children":null,"spread":false},{"title":"preprocessed_data.csv <span style='color:#111;'> 4.50MB </span>","children":null,"spread":false},{"title":"q_mat.npz <span style='color:#111;'> 26.57KB </span>","children":null,"spread":false}],"spread":true},{"title":"assistments12","children":[{"title":"preprocessed_data_train.csv <span style='color:#111;'> 51.31MB </span>","children":null,"spread":false},{"title":"preprocessed_data_test.csv <span style='color:#111;'> 13.28MB </span>","children":null,"spread":false},{"title":"preprocessed_data.csv <span style='color:#111;'> 64.60MB </span>","children":null,"spread":false},{"title":"q_mat.npz <span style='color:#111;'> 82.49KB </span>","children":null,"spread":false}],"spread":true},{"title":"bridge_algebra06","children":[{"title":"preprocessed_data_train.csv <span style='color:#111;'> 15.85MB </span>","children":null,"spread":false},{"title":"preprocessed_data_test.csv <span style='color:#111;'> 9.24MB </span>","children":null,"spread":false},{"title":"preprocessed_data.csv <span style='color:#111;'> 42.42MB </span>","children":null,"spread":false},{"title":"q_mat.npz <span style='color:#111;'> 198.97KB </span>","children":null,"spread":false}],"spread":true},{"title":"spanish","children":[{"title":"preprocessed_data_train.csv <span style='color:#111;'> 6.62MB </span>","children":null,"spread":false},{"title":"preprocessed_data_test.csv <span style='color:#111;'> 1.44MB </span>","children":null,"spread":false},{"title":"preprocessed_data.csv <span style='color:#111;'> 8.06MB </span>","children":null,"spread":false},{"title":"q_mat.npz <span style='color:#111;'> 2.03KB </span>","children":null,"spread":false}],"spread":true},{"title":"statics","children":[{"title":"preprocessed_data_train.csv <span style='color:#111;'> 2.19MB </span>","children":null,"spread":false},{"title":"preprocessed_data_test.csv <span style='color:#111;'> 482.10KB </span>","children":null,"spread":false},{"title":"preprocessed_data.csv <span style='color:#111;'> 2.66MB </span>","children":null,"spread":false},{"title":"q_mat.npz <span style='color:#111;'> 3.16KB </span>","children":null,"spread":false}],"spread":true},{"title":"assistments17_first_attempt","children":[{"title":"preprocessed_data_train.csv <span style='color:#111;'> 7.91MB </span>","children":null,"spread":false},{"title":"preprocessed_data_test.csv <span style='color:#111;'> 2.01MB </span>","children":null,"spread":false},{"title":"preprocessed_data.csv <span style='color:#111;'> 9.92MB </span>","children":null,"spread":false},{"title":"q_mat.npz <span style='color:#111;'> 7.38KB </span>","children":null,"spread":false}],"spread":true},{"title":"algebra05","children":[{"title":"preprocessed_data_train.csv <span style='color:#111;'> 10.94MB </span>","children":null,"spread":false},{"title":"preprocessed_data_test.csv <span style='color:#111;'> 2.95MB </span>","children":null,"spread":false},{"title":"preprocessed_data.csv <span style='color:#111;'> 13.89MB </span>","children":null,"spread":false},{"title":"q_mat.npz <span style='color:#111;'> 322.30KB </span>","children":null,"spread":false}],"spread":false},{"title":"assistments17","children":[{"title":"preprocessed_data_train.csv <span style='color:#111;'> 16.45MB </span>","children":null,"spread":false},{"title":"preprocessed_data_test.csv <span style='color:#111;'> 4.23MB </span>","children":null,"spread":false},{"title":"preprocessed_data.csv <span style='color:#111;'> 20.68MB </span>","children":null,"spread":false},{"title":"q_mat.npz <span style='color:#111;'> 7.38KB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"train_dkt2.py <span style='color:#111;'> 8.04KB </span>","children":null,"spread":false},{"title":"train_dkt1.py <span style='color:#111;'> 11.20KB </span>","children":null,"spread":false},{"title":"utils","children":[{"title":"__init__.py <span style='color:#111;'> 85B </span>","children":null,"spread":false},{"title":"saver.py <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"misc.py <span style='color:#111;'> 144B </span>","children":null,"spread":false},{"title":"metrics.py <span style='color:#111;'> 621B </span>","children":null,"spread":false},{"title":"queue.py <span style='color:#111;'> 957B </span>","children":null,"spread":false},{"title":"logger.py <span style='color:#111;'> 872B </span>","children":null,"spread":false}],"spread":true},{"title":"model_dkt2.py <span style='color:#111;'> 2.24KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 5.03KB </span>","children":null,"spread":false},{"title":"run.sh <span style='color:#111;'> 441B </span>","children":null,"spread":false},{"title":"prepare_data.py <span style='color:#111;'> 15.52KB </span>","children":null,"spread":false},{"title":"train_lr.py <span style='color:#111;'> 2.27KB </span>","children":null,"spread":false},{"title":"model_sakt.py <span style='color:#111;'> 6.13KB </span>","children":null,"spread":false},{"title":"model_dkt1.py <span style='color:#111;'> 2.29KB </span>","children":null,"spread":false},{"title":"train_ffw.py <span style='color:#111;'> 4.93KB </span>","children":null,"spread":false},{"title":"encode.py <span style='color:#111;'> 9.71KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]