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- # View more python learning tutorial on my Youtube and Youku channel!!!
- # Youtube video tutorial: https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg
- # Youku video tutorial: http://i.youku.com/pythontutorial
- """
- Please note, this code is only for python 3+. If you are using python 2+, please modify the code accordingly.
- """
- from __future__ import print_function
- 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
- ##print(iris_X[:2, :])
- ##print(iris_y)
- X_train, X_test, y_train, y_test = train_test_split(
- iris_X, iris_y, test_size=0.3)
- ##print(y_train)
- knn = KNeighborsClassifier()
- knn.fit(X_train, y_train)
- print(knn.predict(X_test))
- print(y_test)
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