python shuffle

在进行机器学习时，经常需要打乱样本，这种时候Python中叒有第三方库提供了这个功能——sklearn.utils.shuffle

Shuffle arrays or sparse matrices in a consistent way. This is a convenience alias to resample(*arrays, replace=False) to do random permutations of the collections.

from sklearn.utils import shuffle

# Load data
boston = datasets.load_boston()
X, y = shuffle(boston.data, boston.target, random_state=13)
X = X.astype(np.float32)
offset = int(X.shape[0] * 0.9)
X_train, y_train = X[:offset], y[:offset]
X_test, y_test = X[offset:], y[offset:]

我还是没太懂为啥打乱样本？

待我查一下