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 vote192 views1 answer
Django save another class data while saving a class
Python
-1 vote235 views3 answers
Numpy savetext
Python
2 votes174 views1 answer
Converting a string to a dictionary in python
Python
4 votes263 views3 answers
How to loop through dates in python
Python
2 votes201 views1 answer
Create an array string using for in python
Python
0 vote194 views1 answer
Python pynput letter key pressed
Python
1 vote191 views1 answer
Get variance of list python
Python
0 vote179 views1 answer
Set a random seed
Python
1 vote199 views1 answer
Represent NaN with pandas in python
Python
4 votes149 views1 answer
Python max float
Python