[FAQ] TypeError while Creating OneHotEncoder Object

[RevathyRamalingam]

Course

machine-learning-zoomcamp

Question

What to do when I get TypeError while Creating OneHotEncoder Object?

Answer

If you get Type Error when categorical values are oneHotEncoded using sparse as parameter as below, here is the reason for that error.

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

This error happens 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)

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