Comments (5)
hello @eromoe
I figured out the problem in the first statement. ๐
You must send in the entire train dataframe
in the statement below and the target
refers to the name of your target column in the train dataframe - instead you sent in X and y. That's the issue!
import featurewiz as FW
outputs = FW.featurewiz(dataname=X.reset_index(drop=True), target=y.reset_index(drop=True), corr_limit=0.70, verbose=2, sep=',',
header=0, test_data='',feature_engg='', category_encoders='',
dask_xgboost_flag=False, nrows=None)
Also I noticed that this is a big dataframe. So you might want to set nrows
to be 10000 or something small so that your dataframe is handled in pandas without blowing up.
Hope this finally solves it.
AutoVimal
from featurewiz.
Hi @eromoe ๐
There is something wrong with the input. I would suggest you avoid the y.reset_index(drop=True)
statement. Instead, just send X and y as is. Featurewiz doesn't mind if you send dataframes with index in them. Can you try that and report back to me?
Thanks
Autovimal
from featurewiz.
@AutoViML The index is string, so I droped, without drop
got same error .
PS: The new style feature selection works well with same input .
from featurewiz.
Oh , that's my mistake , thank you for point it out !
from featurewiz.
from featurewiz.
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