Ciao,
eseguendo passo-passo tutte le istruzioni del video, quando eseguo la seguente:
X_sparse = enc.fit_transform(X)
ottengo il seguente errore:
/home/silvasonia/anaconda3/lib/python3.7/site-packages/sklearn/preprocessing/_encoders.py:368: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values. If you want the future behaviour and silence this warning, you can specify "categories='auto'". In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly. warnings.warn(msg, FutureWarning) /home/silvasonia/anaconda3/lib/python3.7/site-packages/sklearn/preprocessing/_encoders.py:390: DeprecationWarning: The 'categorical_features' keyword is deprecated in version 0.20 and will be removed in 0.22. You can use the ColumnTransformer instead. "use the ColumnTransformer instead.", DeprecationWarning)
Ho fatto qualche errore durrante l'installazione?
Ciao,
eseguendo passo-passo tutte le istruzioni del video, quando eseguo la seguente:
X_sparse = enc.fit_transform(X)ottengo il seguente errore:
/home/silvasonia/anaconda3/lib/python3.7/site-packages/sklearn/preprocessing/_encoders.py:368: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values. If you want the future behaviour and silence this warning, you can specify "categories='auto'". In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly. warnings.warn(msg, FutureWarning) /home/silvasonia/anaconda3/lib/python3.7/site-packages/sklearn/preprocessing/_encoders.py:390: DeprecationWarning: The 'categorical_features' keyword is deprecated in version 0.20 and will be removed in 0.22. You can use the ColumnTransformer instead. "use the ColumnTransformer instead.", DeprecationWarning)Ho fatto qualche errore durrante l'installazione?