现实世界数据集scikit学习加载错误

时间:2019-04-02 17:39:14

标签: python scikit-learn dataset

我正在尝试在迷你批处理k均值实现(使用python)上测试来自scikit-learn的真实数据集,但这给了我错误![我没有更改代码中的任何内容,只是数据集的名称]玩具数据集使代码正确运行

注意:fetch_olivetti_faces使用相同的代码即可正常工作,但不能使用任何其他数据集

from sklearn.datasets import fetch_20newsgroups_vectorized
boston =fetch_20newsgroups_vectorized()

我遇到了这个错误

Traceback (most recent call last):
  File "C:/Users/User/PycharmProjects/untitled/venv/Scripts/mbkm.py", line 18, in <module>
    boston =fetch_20newsgroups_vectorized()
  File "C:\Users\User\PycharmProjects\untitled\venv\lib\site-packages\sklearn\datasets\twenty_newsgroups.py", line 406, in fetch_20newsgroups_vectorized
    X_train, X_test = _joblib.load(target_file)
  File "C:\Users\User\PycharmProjects\untitled\venv\lib\site-packages\sklearn\externals\joblib\numpy_pickle.py", line 598, in load
    obj = _unpickle(fobj, filename, mmap_mode)
  File "C:\Users\User\PycharmProjects\untitled\venv\lib\site-packages\sklearn\externals\joblib\numpy_pickle.py", line 526, in _unpickle
    obj = unpickler.load()
.
.
    raise ValueError(msg % (error_template, size, len(data)))
ValueError: EOF: reading array data, expected 45260 bytes got 23049

0 个答案:

没有答案