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Create 007_01aa9d5221_TypeError-In-Creating-OneHot-Encoder-Object #18

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18 changes: 18 additions & 0 deletions ...ing-zoomcamp/module-4-homework/007_01aa9d5221_TypeError-In-Creating-OneHot-Encoder-Object
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| id | question | sort_order |
|--------------|---------------------------------------------|-------------|
| 01aa9d5221 | TypeError while creating OneHotEncoder object | 7 |

You get Type Error when categorical values are oneHotEncoded using sparse as parameter. A sample error message
can be found below for reference

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)