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1st Place Solution for O2O Coupon Usage Forecast

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t7['day_gap_before'] = t7.date_received_date.apply(get_day_gap_before) Traceback (most recent call last): File "C:\Users\TangX\AppData\Local\Temp\ipykernel_10460\2415590082.py", line 1, in t7['day_gap_before'] = t7.date_received_date.apply(get_day_gap_before) File "F:\Anaconda_app\lib\site-packages\pandas\core\series.py", line 4433, in apply return SeriesApply(self, func, convert_dtype, args, kwargs).apply() File "F:\Anaconda_app\lib\site-packages\pandas\core\apply.py",...

你好,你曾经分享过视频,对视频中的滑窗法有点疑问: ![qq 20170211142206](https://cloud.githubusercontent.com/assets/9864284/22851712/bc6f9ece-f065-11e6-8887-8e7f20e42cdb.png) 如图: 1. 在Dataset1的“**标签区间**”含有5月1号劳动节,假如节日对目标变量有关系的话,是否应该创建一个特征叫 is_holiday, 2. 与上一个问题差不多,在Dataset2的“**特征区间**”含有含有5月1号劳动节,假如节日对目标变量有关系的话,那么这种情况该如何处理呢, 谢谢

https://github.com/microsoft/PowerToys/commit/5d58d3276c43ea7e667802cf6e03fc168b256633

你好 我是新人 想学习一下你的代码 运行extract_feature.py出现问题 报错如下 Traceback (most recent call last): File "extract_feature.py", line 60, in feature3 = off_train[((off_train.date>='20160315')&(off_train.date='20160315')&(off_train.date_received

您好,我看season1的extract_feature的代码里面好像没有用到online的数据啊。。。

请问在运行extract_feature.py时出现了这样的问题 Traceback (most recent call last): File "extract_feature.py", line 60, in feature3 = off_train[((off_train.date>='20160315')&(off_train.date='20160315')&(off_train.date_received

不断地测试?有没有一些trick方便分享么?

这是什么问题呢??? Traceback (most recent call last): File "xgb.py", line 58, in dataset3_preds.label = MinMaxScaler().fit_transform(dataset3_preds.label)#区间缩放到[0,1] File "/home/cxy/anaconda3/lib/python3.6/site-packages/sklearn/base.py", line 518, in fit_transform return self.fit(X, **fit_params).transform(X) File "/home/cxy/anaconda3/lib/python3.6/site-packages/sklearn/preprocessing/data.py", line 308, in fit return...

我看你们第一赛季代码的 xgb 是用 rank:pairwise 作为目标的。我用分类作为目标会造成严重的过拟合。这有什么原因么?