ctm_sched_prediction:Zmax。战队:DataCode

时间:2024-03-31 14:01:43
【文件属性】:

文件名称:ctm_sched_prediction:Zmax。战队:DataCode

文件大小:7.35MB

文件格式:ZIP

更新时间:2024-03-31 14:01:43

系统开源

调度系统进度预测内部比赛,第二名获奖方案; 比赛预测多天整个数据仓库20多万/天个跑批作业完成时间的比赛。 队伍:DataCode的解决方案 代码贡献者:Zmax 环境: 下一个: python3.6 熊猫0.21.0 scikit学习0.19.0 xgboost 0.6 + 20171121 lightgbm 程序文件:(数字序号编就是程序运行的大致顺序) CTM: 1data_analysis 2data_split ---产生数据文件data_src 3processing ---data_processed 4union ---data_train 5model 6feature_importance 7blending 8submit ---data_submit 文件夹代码具体作业: 1data_analysis:简单的数据查看,数据分析 2d


【文件预览】:
ctm_sched_prediction-master
----data_train()
--------no_up_job_train_final.ipynb(19KB)
--------no_up_job_train.ipynb(172KB)
--------cnv_dt_to_edt_with_condition.ipynb(156KB)
----2data_split()
--------split_by_orderd_4.ipynb(20KB)
--------ajob_do_0.ipynb(7KB)
--------split_by_orderd_3.ipynb(25KB)
--------split_by_orderd_4_.ipynb(22KB)
--------split_by_orderd_2.ipynb(23KB)
--------split_by_orderd_.ipynb(37KB)
--------split_by_orderd_3_.ipynb(22KB)
--------split_by_orderd.ipynb(21KB)
--------split_by_orderd_2_.ipynb(26KB)
----7blending()
--------edt_pred_20_pice.ipynb(22KB)
--------edt_allfeature_score1119.csv(9KB)
--------model_save()
--------pred_edt_every_pice()
----5model()
--------lightgbm_model.txt(310KB)
--------dt_xgboost_1.ipynb(27KB)
--------dt_lightgbm_1.ipynb(34KB)
--------dt_lightgbm_2.ipynb(59KB)
--------edt_xgboost_1.ipynb(10KB)
----8submit()
--------微信图片_20190114201639.jpg(99KB)
--------submit_1.ipynb(7KB)
----data_src()
--------readme.txt(82B)
----4union()
--------union_dt_feature_1.ipynb(28KB)
--------union_edt_feature_1.ipynb(16KB)
----data_processed()
--------sel_up_job_union_train_data.ipynb(8KB)
--------readme.txt(129B)
----0experiment()
--------ajob_join_event.ipynb(14KB)
--------state_node_jobhead_count.ipynb(2KB)
--------ajob_join_evet.csv(25KB)
--------condition_explore.ipynb(4KB)
--------ajob_get_avg_start_time.ipynb(23KB)
----6feature_importance()
--------lightgbm_model_edt.txt(230KB)
--------lightgbm_model.txt(555KB)
--------dt_feature_importance.ipynb(56KB)
--------edt_final.ipynb(184KB)
--------edt_feature_importance.ipynb(39KB)
--------dt_feature_importance_test.ipynb(51KB)
--------edt_gbm.pkl(521KB)
--------edt_feature_importance_final.ipynb(116KB)
--------gbm.pkl(556KB)
----3processing()
--------resorce_do_1.ipynb(34KB)
--------ajob_do_2.ipynb(16KB)
--------condition_do_1.ipynb(34KB)
--------state_ajob_1.ipynb(22KB)
--------get_dt.ipynb(65KB)
--------state_do_1.ipynb(18KB)
--------condition_drop_duplicates.ipynb(6KB)
--------evet_do_1.ipynb(21KB)
--------readme.md(427B)
--------ajob_do_1.ipynb(21KB)
--------state_evet_1.ipynb(18KB)
--------evet_do_2.ipynb(65KB)
----1data_analysis()
--------data_by_cls_visual.ipynb(76KB)
--------src_big_data_look.ipynb(27KB)
--------src_big_data_look_3.ipynb(19KB)
--------src_big_data_look_2.ipynb(22KB)
----readme.md(2KB)

网友评论