无法使用Python 3.3下载Scikit-learn数据集

Question

在Windows 8上使用Python 3.3学习Sklearn教程时，我们必须获取新闻组数据集。然而，下载后，iPython抛出以下错误。这是臭虫吗?

代码执行

categories = ['alt.atheism', 'soc.religion.christian', 'comp.graphics', 'sci.med']
from sklearn.datasets import fetch_20newsgroups
twenty_train = fetch_20newsgroups(subset='train', categories=categories, shuffle=True, random_state=42)

误差

C:Python33libsite-packagessklearndatasetstwenty_newsgroups.py:79: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
  logger.warn("Downloading dataset from %s (14 MB)", URL)
Downloading dataset from http://people.csail.mit.edu/jrennie/20Newsgroups/20news-bydate.tar.gz (14 MB)
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-2-ab16c84fd2ef> in <module>()
      1 categories = ['alt.atheism', 'soc.religion.christian', 'comp.graphics', 'sci.med']
      2 from sklearn.datasets import fetch_20newsgroups
----> 3 twenty_train = fetch_20newsgroups(subset='train', categories=categories, shuffle=True, random_state=42)
C:Python33libsite-packagessklearndatasetstwenty_newsgroups.py in fetch_20newsgroups(data_home, subset, categories, shuffle, random_state, download_if_missing)
    142         if download_if_missing:
    143             cache = download_20newsgroups(target_dir=twenty_home,
--> 144                                           cache_path=cache_path)
    145         else:
    146             raise IOError('20Newsgroups dataset not found')
C:Python33libsite-packagessklearndatasetstwenty_newsgroups.py in download_20newsgroups(target_dir, cache_path)
     86 
     87     # Store a zipped pickle
---> 88     cache = dict(train=load_files(train_path, charset='latin1'),
     89                  test=load_files(test_path, charset='latin1'))
     90     open(cache_path, 'wb').write(pickle.dumps(cache).encode('zip'))
C:Python33libsite-packagessklearndatasetsbase.py in load_files(container_path, description, categories, load_content, shuffle, charset, charse_error, random_state)
    181         data = [open(filename).read() for filename in filenames]
    182         if charset is not None:
--> 183             data = [d.decode(charset, charse_error) for d in data]
    184         return Bunch(data=data,
    185                      filenames=filenames,
C:Python33libsite-packagessklearndatasetsbase.py in <listcomp>(.0)
    181         data = [open(filename).read() for filename in filenames]
    182         if charset is not None:
--> 183             data = [d.decode(charset, charse_error) for d in data]
    184         return Bunch(data=data,
    185                      filenames=filenames,
AttributeError: 'str' object has no attribute 'decode'

Answer 1

scikit-learn还不支持Python 3.3。移植它的努力正在进行中，一些模块可以工作，但显然这个不能。请使用Python 2.7。