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day_02_code.py

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+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}')
+