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

0 vote97 views3 answers
Remove nana from np array
Python
1 vote107 views1 answer
Guido van rossum net worth
Python
0 vote109 views1 answer
Tk inter entry
Python
0 vote103 views1 answer
Python obtenir nom des fichiers d'un dossier
Python
0 vote97 views2 answers
Remove df rows if two column values are not matching
Python
0 vote107 views1 answer
Python invert colormap
Python
0 vote102 views1 answer
Hashing in python using chaining in python
Python
11 votes111 views5 answers
Python ordereddict
Python
3 votes129 views1 answer
Python bounding box on image
Python
22 votes105 views6 answers
Tkinter button
Python