Open albangabillon opened 4 years ago
Hi @albangabillon , thanks for the error report.
Could you post the full stack trace of the error you encountered?
housing_df = load_housing_data("train.csv") housing_df=housing_df.drop(columns=housing_df.columns[10:],axis=1) an.auto_entityset(housing_df, accuracy=1, name="esHousing")
`100%|████████████████████████████████████████████████████████████████████████████████████| 8/8 [00:00<00:00, 33.33it/s]ValueError Traceback (most recent call last)
It looks to be an issue with handling the underlying datatypes while creating the entityset. Are you able to share this data so I could try to replicate?
Hello,
Data comes from the beginner competition at kaggle. I attached the file.
Regards
Alban Gabillon Professeur des Universités en Informatique Tél.: (+689) 40 80 38 80 (GMT -10:00) B.P. 6570 - 98702 Faa’a - Tahiti - Polynésie française
De: "Roy Wedge" notifications@github.com À: "FeatureLabs/autonormalize" autonormalize@noreply.github.com Cc: "Gabillon" alban.gabillon@upf.pf, "Mention" mention@noreply.github.com Envoyé: Vendredi 6 Mars 2020 07:00:30 Objet: Re: [FeatureLabs/autonormalize] an error I do not understand (#19)
It looks to be an issue with handling the underlying datatypes while creating the entityset. Are you able to share this data so I could try to replicate?
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Hi, I didn't get the attached file but I presume it was the "House Prices: Advanced Regression Techniques" contest.
Two more questions
load_housing_data("train.csv")
a pd.read_csv
call?featuretools info
from the command line and share the ouput. It'll help make sure I've got the same environment for testing
Thanks!
Unable to add relationship because LotArea_LandContour in LotArea_LandContour is Pandas dtype int32 and LotArea_LandContour in index is Pandas dtype int64.