Sebastian Raschka

Results 821 comments of Sebastian Raschka

Yes, that would be one solution. However, the results would be different. E.g. let's assume we have three features, A and B, C, where A is a categorical feature with...

I actually tried that the other day with a scikit-learn Pipeline, OneHotEncoder, and ColumnTransformer. The technical limitation with using NumPy arrays is that we can't rely on column indices because...

So, what I had in mind the other day was something like this ```python import pandas as pd from sklearn.neighbors import KNeighborsClassifier from sklearn.datasets import load_iris from mlxtend.feature_selection import SequentialFeatureSelector...

Hi there. Unfortunately, I don't think #506 fully addressed this issue, so this is not supported yet.

I would like to add more descriptive comments. It's just hard to come up with a good rule here to catch errors related to the above mentioned one-hot encoding approach....

Thanks for sharing! This would be another nice addition for the tutorials.

Hey @NimaSarajpoor, you are right the sequential feature selector could (/should) eventually have a feature group support similar to the exhaustive feature selector. It’s something I was hoping to tackle...

Thanks and no worries about the timeline at all! Currently so many things to catch up with 😅

Thanks for the note! I was looking into this but couldn't find the root cause of this issue in the McNemar files. I think it may have something to do...