objectif

Imputer les valeurs manquantes (moyenne, médiane, mode).

code minimal

from sklearn.impute import SimpleImputer
import numpy as np
X = np.array([[1.0, np.nan],[2.0, 3.0]])
imp = SimpleImputer(strategy="mean").fit(X)
print(imp.transform([[np.nan, 5.0]]).shape)

utilisation

from sklearn.impute import SimpleImputer
import numpy as np
X = [[np.nan],[1.0],[2.0]]
print(SimpleImputer(strategy="median").fit_transform(X).tolist())

variante(s) utile(s)

from sklearn.impute import SimpleImputer
print(SimpleImputer(strategy="most_frequent") is not None)

notes

• Placer dans Pipeline avant le modèle.