from sklearn import datasets iris = datasets.load_iris() digits = datasets.load_digits() print 'iris:',iris.data,'\ndigits:',digits.data |
del_selection import train_test_split x_train,x_test,y_train,y_test=train_test_split(digits.data,digits.target,test_size=0.2) print 'x_train:',x_train,'\nx_test:',x_test,'\ny_train:',y_train,'\ny_test:',y_test |
ics import classification_report from sklearn import neighbors clf = neighbors.KNeighborsClassifier() clf.fit(x_train,y_train) y_pred=clf.predict(x_test) print classification_report(y_test, y_pred) from sklearn.svm import SVC clf = SVC() clf.fit(x_train,y_train) y_pred=clf.predict(x_test) print classification_report(y_test, y_pred) |
from sklearn import preprocessing min_max_scaler = preprocessing.MinMaxScaler() x_train = min_max_scaler.fit_transform(x_train) x_test = min_max_scaler.fit_transform(x_test) |
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