You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
'data' is numpy array of floating point numerical type, it means no categorical features, but 'cat_features' parameter specifies nonzero number of categorical features
#13
Open
iyliamjd opened this issue
Nov 27, 2019
· 1 comment
Hi everyone, it's me again. I have run this code. I get error code below: pool = Pool(data, label, cat_features=cat_cols)
the error : 'data' is numpy array of floating point numerical type, it means no categorical features," _catboost.CatBoostError: 'data' is numpy array of floating point numerical type, it means no categorical features, but 'cat_features' parameter specifies nonzero number of categorical features
Does anyone know what is happening, i did't change any of the code but got error maybe because of my train and test file. But I dont know how is the structure for test and train file.
The text was updated successfully, but these errors were encountered:
If I'm not mistaken, you should be doing issues here: https://github.com/catboost/catboost/issues
I would recommend to create the new ones there, because we check that place all the time.
Hi everyone, it's me again. I have run this code. I get error code below:
pool = Pool(data, label, cat_features=cat_cols)
the error :
'data' is numpy array of floating point numerical type, it means no categorical features," _catboost.CatBoostError: 'data' is numpy array of floating point numerical type, it means no categorical features, but 'cat_features' parameter specifies nonzero number of categorical features
Does anyone know what is happening, i did't change any of the code but got error maybe because of my train and test file. But I dont know how is the structure for test and train file.
The text was updated successfully, but these errors were encountered: