from sklearn.impute import SimpleImputer imp = SimpleImputer(strategy=’constant’, fill_value=0) imp.fit_transform([[1, 2], [np.nan, 3]]) What is the output of this code?

Question

Data Science — Medium

from sklearn.impute import SimpleImputer imp = SimpleImputer(strategy=’constant’, fill_value=0) imp.fit_transform([[1, 2], [np.nan, 3]]) What is the output of this code?

Accepted Answer

The SimpleImputer with strategy='constant' and fill_value=0 replaces all occurrences of np.nan with the specified constant. In this case, the missing value in the second row is replaced by 0.0, resulting in the array [[1.0, 2.0], [0.0, 3.0]].