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Hi, I think it iwould be a good idea to be able to parameterise the logger (i.e. a verbose param).
I am currently using a DataFrameMapper on a Dask DataFrame of hundreds of columns, and thus every time I call the transform() function, I get an output of +100 * n_partitions lines, due to this line.
Cheers!
Environment info
python==3.7.9
sklearn-pandas==2.1.0
The text was updated successfully, but these errors were encountered:
Meanwhile, let me know if existing solution to control log message works for your not. You can explicit set logging level for sklearn_pandas using the following code
Hi, I think it iwould be a good idea to be able to parameterise the logger (i.e. a verbose param).
I am currently using a DataFrameMapper on a Dask DataFrame of hundreds of columns, and thus every time I call the
transform()
function, I get an output of+100 * n_partitions
lines, due to this line.Cheers!
Environment info
python==3.7.9
sklearn-pandas==2.1.0
The text was updated successfully, but these errors were encountered: