You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
33 lines
723 B
33 lines
723 B
5 months ago
|
from sklearn.neighbors.KNneighborsClassifier(n_neighnprs = 5)
|
||
|
|
from sklearn.neighbors import KNneighborsClassifier
|
||
|
|
import warings
|
||
|
|
|
||
|
|
warings.filterwarnings('ignore')
|
||
|
|
'''
|
||
|
|
def dm01_knnapi_Classifier():
|
||
|
|
estimator = KNneighborsClassifier(n_neighnprs =1)
|
||
|
|
|
||
|
|
x = random.randomint(0,5)
|
||
|
|
y = [0,0,1,1]
|
||
|
|
|
||
|
|
# 实例化API
|
||
|
|
estimator = KNeighborsClassifier(n_neighbors=3)
|
||
|
|
# 使用fit法进行训练
|
||
|
|
estimator.fit(x, y)
|
||
|
|
estimator.predict([1])
|
||
|
|
|
||
|
|
'''
|
||
|
|
x = [[0,2],[1,3],[2,5],[3,6],[4,2]]
|
||
|
|
|
||
|
|
y = [0,0,0,1,1]
|
||
|
|
|
||
|
|
# 实例化API
|
||
|
|
estimator = KNeighborsClassifier(n_neighbors=3)
|
||
|
|
estimator.fit(x,y)
|
||
|
|
|
||
|
|
# 预测
|
||
|
|
|
||
|
|
mypre = estimator.predict([[3,6],[3,4],[2,5])
|
||
|
|
print(f'mypre:{mypre}')
|
||
|
|
|