Exemple #1
0
from sklearn.ensemble import RandomForestClassifier

clf = RandomForestClassifier(random_state=0)
X = [[1, 2, 3], [11, 12, 13]]  # 2 samples, 3 features
y = [0, 1]  # classes of each sample
clf.fit(X, y)
print(clf)
print(clf.__repr__())