Skip to content

TypeError when OneHotEncoder object is created #12

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

TypeError when OneHotEncoder object is created #12

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 11 additions & 0 deletions ...machine-learning-zoomcamp/module-4-homework/TypeError when OneHotEncoder class is created
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,11 @@
TypeError Traceback (most recent call last)
Cell In[60], line 4
2 scaler = StandardScaler()
3 X_train_num = scaler.fit_transform(X_train_num)
----> 4 ohe = OneHotEncoder(sparse=False)
5 X_train_cat = ohe.fit_transform(df_train[categorical_columns].values)
6 X_train_cat

You get above error when categorical values are oneHotEncoded using sparse as parameter. This is because in scikit-learn ≥1.2, the OneHotEncoder no longer uses the sparse parameter. Instead, it now uses sparse_output.
So create OneHotEncoder class using spare_output as argument like below,
ohe = OneHotEncoder(sparse_output=False)