import numpy as np
X = np.random.randint(5, size=(6, 100))
y = np.array([1, 2, 3, 4, 5, 6])

print(X)

from sklearn.naive_bayes import MultinomialNB
clf = MultinomialNB()
clf.fit(X, y)
print(clf.predict(X[2:3]))
print(clf.score(X, y))
