Comments (2)
Hi @vivas0 👍
That's a simple fix - Featurewiz used to run with a default setting of nrows=1000
. Since pima
dataset is less than 1000 rows, it is trying to get a random sample of 1000 rows and is failing. You just need to set the nrows
argument to the length of the pima
dataset. See below from documentation in main page README
You can either set nrows=None
or nrows=768
in the call statement below:
outputs = FW.featurewiz(dataname, target, corr_limit=0.70, verbose=2, sep=',',
header=0, test_data='',feature_engg='', category_encoders='',
dask_xgboost_flag=True, nrows=None)
I hope this helps,
Ram
from featurewiz.
Thanks, that solved the problem.
from featurewiz.
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