关于商品数据处理及模型备份

[{"title":"（ 41 个子文件 16.59MB ） 关于商品数据处理及模型备份","children":[{"title":"商品推荐第四次课程代码","children":[{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"code","children":[{"title":"model","children":[{"title":"k_means_preprocessing.py <span style='color:#111;'> 24.36KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 3.82KB </span>","children":null,"spread":false},{"title":"NeuralFM.py <span style='color:#111;'> 20.05KB </span>","children":null,"spread":false},{"title":"gbdt_on_subsample.py <span style='color:#111;'> 43.61KB </span>","children":null,"spread":false},{"title":"lr_on_subsample.py <span style='color:#111;'> 31.62KB </span>","children":null,"spread":false},{"title":"tf_wdl_on_subsample.py <span style='color:#111;'> 26.37KB </span>","children":null,"spread":false},{"title":"tf_wdl_model.py <span style='color:#111;'> 4.84KB </span>","children":null,"spread":false}],"spread":true},{"title":"__pycache__","children":[{"title":"dict_csv.cpython-37.pyc <span style='color:#111;'> 1.36KB </span>","children":null,"spread":false}],"spread":true},{"title":"5.LR和GBDT.ipynb <span style='color:#111;'> 2.50MB </span>","children":null,"spread":false},{"title":"_tf_model","children":[{"title":"model.ckpt-200.index <span style='color:#111;'> 1.39KB </span>","children":null,"spread":false},{"title":"graph.pbtxt <span style='color:#111;'> 1.34MB </span>","children":null,"spread":false},{"title":"checkpoint <span style='color:#111;'> 173B </span>","children":null,"spread":false},{"title":"events.out.tfevents.1597539805.DESKTOP-4V34552 <span style='color:#111;'> 2.19MB </span>","children":null,"spread":false},{"title":"model.ckpt-200.data-00000-of-00001 <span style='color:#111;'> 459.97KB </span>","children":null,"spread":false},{"title":"model.ckpt-100.index <span style='color:#111;'> 1.39KB </span>","children":null,"spread":false},{"title":"model.ckpt-0.data-00000-of-00001 <span style='color:#111;'> 459.97KB </span>","children":null,"spread":false},{"title":"model.ckpt-100.data-00000-of-00001 <span style='color:#111;'> 459.97KB </span>","children":null,"spread":false},{"title":"model.ckpt-100.meta <span style='color:#111;'> 589.56KB </span>","children":null,"spread":false},{"title":"model.ckpt-200.meta <span style='color:#111;'> 589.56KB </span>","children":null,"spread":false},{"title":"events.out.tfevents.1597540076.DESKTOP-4V34552 <span style='color:#111;'> 2.19MB </span>","children":null,"spread":false},{"title":"model.ckpt-0.meta <span style='color:#111;'> 589.56KB </span>","children":null,"spread":false},{"title":"model.ckpt-0.index <span style='color:#111;'> 1.39KB </span>","children":null,"spread":false}],"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"feature_construct","children":[{"title":"feature_construct_part_2.py <span style='color:#111;'> 72.31KB </span>","children":null,"spread":false},{"title":"divide_data_set.py <span style='color:#111;'> 5.51KB </span>","children":null,"spread":false},{"title":"feature_construct_part_3.py <span style='color:#111;'> 72.30KB </span>","children":null,"spread":false},{"title":"feature_construct_part_1.py <span style='color:#111;'> 72.20KB </span>","children":null,"spread":false}],"spread":true},{"title":"1.数据分析和可视化.ipynb <span style='color:#111;'> 154.94KB </span>","children":null,"spread":false},{"title":"3.特征提取.ipynb <span style='color:#111;'> 224.12KB </span>","children":null,"spread":false},{"title":"2.基于规则的预测.ipynb <span style='color:#111;'> 25.64KB </span>","children":null,"spread":false},{"title":"4.协同过滤.ipynb <span style='color:#111;'> 5.61MB </span>","children":null,"spread":false},{"title":"dict_csv.py <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"4.协同过滤-checkpoint.ipynb <span style='color:#111;'> 5.61MB </span>","children":null,"spread":false},{"title":"5.LR和GBDT-checkpoint.ipynb <span style='color:#111;'> 2.50MB </span>","children":null,"spread":false},{"title":"3.特征提取-checkpoint.ipynb <span style='color:#111;'> 72B </span>","children":null,"spread":false},{"title":"1.数据分析和可视化-checkpoint.ipynb <span style='color:#111;'> 72B </span>","children":null,"spread":false},{"title":"2.基于规则的预测-checkpoint.ipynb <span style='color:#111;'> 72B </span>","children":null,"spread":false},{"title":"6.WDL和NFM-checkpoint.ipynb <span style='color:#111;'> 2.01KB </span>","children":null,"spread":false}],"spread":true},{"title":"6.WDL和NFM.ipynb <span style='color:#111;'> 4.49MB </span>","children":null,"spread":false}],"spread":false},{"title":"2020年08月29日商品推荐第四次.txt <span style='color:#111;'> 585B </span>","children":null,"spread":false}],"spread":true}],"spread":true}]