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#Load TSDatasets by group_id from paddlets import TSDataset tsdatasets = TSDataset.load_from_dataframe( df=sample, group_id='id', target_cols='a', observed_cov_cols=['c', 'd'], #static_cov_cols='id' ) 使用group_id导入数据,得到的是个TSDataset集合,怎么知道每个集和对应的group_id值是多少,没找到对应的方法和属性,而且预测后也不知道对应的是哪个group_id的预测值
The text was updated successfully, but these errors were encountered:
对于多时序数据的回测支持好像也不是很好,需要循环去回测吗?也没有一个整体的一个指标对应多时序数据
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您好,len(tsdatasets)的长度就是group一共有多少组。指定group_id后 会读取成list,相同的group_id被划分为一组。
指定group_id?怎么指定group_id,没找到对应的方法和属性
在您的csv数据中,哪一个是表示group_id的,就设置group_id='xx'即可
您好,由于问题超过一周,将自动关闭。
Sunting78
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#Load TSDatasets by group_id
from paddlets import TSDataset
tsdatasets = TSDataset.load_from_dataframe(
df=sample,
group_id='id',
target_cols='a',
observed_cov_cols=['c', 'd'],
#static_cov_cols='id'
)
使用group_id导入数据,得到的是个TSDataset集合,怎么知道每个集和对应的group_id值是多少,没找到对应的方法和属性,而且预测后也不知道对应的是哪个group_id的预测值
The text was updated successfully, but these errors were encountered: