array(4) { [0]=> string(59) "Plots/SL_variation_coefficient of prescriptiveness calendar" [1]=> string(8) " lag.png" [2]=> string(5) "45257" [3]=> string(21) "2022-03-03 05:24:30 " } array(4) { [0]=> string(35) "Plots/cost_delta_model_sel_calendar" [1]=> string(27) " lag_SL_0.9_per_dataset.png" [2]=> string(5) "26783" [3]=> string(21) "2022-03-03 05:24:30 " } array(4) { [0]=> string(32) "Plots/gap_to_optimality_calendar" [1]=> string(15) " lag_SL_0.9.png" [2]=> string(5) "38914" [3]=> string(21) "2022-03-03 05:24:30 " } array(4) { [0]=> string(32) "Plots/gap_to_optimality_calendar" [1]=> string(27) " lag_SL_0.9_per_dataset.png" [2]=> string(5) "28642" [3]=> string(21) "2022-03-03 05:24:30 " } d-evaluation-of-data-driven-newsvendor-approaches 联合开发网 - pudn.com
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d-evaluation-of-data-driven-newsvendor-approaches
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所属分类：数据结构
开发工具：Jupyter Notebook
文件大小：0KB
下载次数：0
上传日期：2022-03-03 13:24:53
上 传 者：sh-1993
说明：  结构化评估数据驱动的新闻供应商方法，，
(A-structured-evaluation-of-data-driven-newsvendor-approaches,,)
文件列表:
Data/ (0, 2022-03-03)
Data/Bakery_preprocessing.ipynb (6523, 2022-03-03)
Data/M5_preprocessing.ipynb (14043, 2022-03-03)
Data/SID_preprocessing.ipynb (17431, 2022-03-03)
Data/YAZ_preprocessing.ipynb (16564, 2022-03-03)
Data/final/ (0, 2022-03-03)
Data/final/SID_data.csv.zip (83340873, 2022-03-03)
Data/final/SID_target.csv.zip (885601, 2022-03-03)
Data/final/bakery_data.csv.zip (11334184, 2022-03-03)
Data/final/bakery_target.csv.zip (152749, 2022-03-03)
Data/final/m5_data.csv.zip (20038417, 2022-03-03)
Data/final/m5_target.csv.zip (179385, 2022-03-03)
Data/final/yaz_data.csv.zip (484887, 2022-03-03)
Data/final/yaz_target.csv.zip (4931, 2022-03-03)
Data/raw/ (0, 2022-03-03)
Data/raw/Bakery_dataset.csv.zip (1951573, 2022-03-03)
Data/raw/M5_dataset.Rdata (65686885, 2022-03-03)
Data/raw/SID_dataset.csv (17333449, 2022-03-03)
Data/raw/YAZ_dataset.csv.zip (13529, 2022-03-03)
Data/utilities.py (3545, 2022-03-03)
Plots/ (0, 2022-03-03)
Plots/SL_variation_coefficient of prescriptiveness calendar (lag, special.pn)
Plots/SL_variation_coefficient of prescriptiveness calendar.png (46193, 2022-03-03)
Plots/breakdown_best_model.png (22569, 2022-03-03)
Plots/feature_variation_coefficient of prescriptiveness 0.1.png (38243, 2022-03-03)
Plots/feature_variation_coefficient of prescriptiveness 0.25.png (41964, 2022-03-03)
Plots/feature_variation_coefficient of prescriptiveness 0.5.png (42714, 2022-03-03)
Plots/feature_variation_coefficient of prescriptiveness 0.75.png (40152, 2022-03-03)
Plots/feature_variation_coefficient of prescriptiveness 0.9.png (42803, 2022-03-03)
Plots/model comparison.png (25143, 2022-03-03)
Plots/rank_one_base_case.png (11198, 2022-03-03)
Plots/rank_one_overall.png (13183, 2022-03-03)
Plots/rank_one_overall_per_dataset.png (31496, 2022-03-03)
Plots/rank_one_per_dataset_base_case.png (27116, 2022-03-03)
Plots/rank_one_per_dataset_base_case_stacked.png (13491, 2022-03-03)
... ...
# ddnv
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