Knn sklearn

X = [[0], [1], [2], [3]]
y = [0, 0, 1, 1]
from sklearn.neighbors import KNeighborsClassifier
neigh = KNeighborsClassifier(n_neighbors=3)
neigh.fit(X, y)

print(neigh.predict([[1.1]]))

print(neigh.predict_proba([[0.9]]))

Similar codes

39 votes226 views4 answers
Typing racer
Python
0 vote218 views1 answer
Using pypyodbc
Python
0 vote233 views1 answer
Celery periodic tasks
Python
23 votes246 views3 answers
Pandas read csv without index
Python
0 vote232 views1 answer
Télécharger librairie avec pip
Python
14 votes233 views3 answers
Python find difference between lists
Python
40 votes229 views4 answers
Python email
Python
0 vote237 views1 answer
Arrow.get(null)
Python
1 vote244 views2 answers
How to print out text in python
Python
0 vote224 views1 answer
Mutiple codition datafrarme
Python