def load_kin8nm_data(proportion=3192./8192):
from sklearn import datasets
from sklearn import cross_validation
kin8nm = datasets.fetch_mldata('regression-datasets kin8nm')
X, y = kin8nm.data[:, :-1], kin8nm.data[:, -1]
y = y[:, None]
X = X.astype(np.float64)
X_train, X_test, y_train, y_test = \
cross_validation.train_test_split(X, y, test_size=proportion)
return X_train, y_train, X_test, y_test
评论列表
文章目录