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- # coding: utf-8
- from sklearn import datasets
- from sklearn.model_selection import train_test_split
- from sklearn.neighbors import KNeighborsClassifier
- iris = datasets.load_iris()
- iris_X = iris.data
- iris_y = iris.target
- iris_X
- iris_y
- print(iris_X[:2, :])
- X_train, X_test, y_train, y_test = train_test_split(
- iris_X, iris_y, test_size=0.3)
- X_train
- X_test
- print(y_train)
- knn = KNeighborsClassifier()
- knn.fit(X_train, y_train)
- print(knn.predict(X_test))
- print(y_test)
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