这个问题和问的很相似here和 here .不幸的是,就我而言,建议的解决方案并没有解决问题。
我需要使用 MNIST 数据集,但我无法获取它,即使我指定了 scikit_learn_data/mldata/
的地址文件夹(见下文)。我怎样才能解决这个问题?
如果它可能有帮助,我正在使用 Anaconda。
代码:
from sklearn.datasets.mldata import fetch_mldata
dataset = fetch_mldata('mnist-original', data_home='/Users/michelangelo/scikit_learn_data/mldata/')
mnist = fetch_mldata('MNIST original')
错误:
---------------------------------------------------------------------------
IOError Traceback (most recent call last)
<ipython-input-5-dc4d45bc928e> in <module>()
----> 1 mnist = fetch_mldata('MNIST original')
/Users/michelangelo/anaconda2/lib/python2.7/site-packages/sklearn/datasets/mldata.pyc in fetch_mldata(dataname, target_name, data_name, transpose_data, data_home)
168 # load dataset matlab file
169 with open(filename, 'rb') as matlab_file:
--> 170 matlab_dict = io.loadmat(matlab_file, struct_as_record=True)
171
172 # -- extract data from matlab_dict
/Users/michelangelo/anaconda2/lib/python2.7/site-packages/scipy/io/matlab/mio.pyc in loadmat(file_name, mdict, appendmat, **kwargs)
134 variable_names = kwargs.pop('variable_names', None)
135 MR = mat_reader_factory(file_name, appendmat, **kwargs)
--> 136 matfile_dict = MR.get_variables(variable_names)
137 if mdict is not None:
138 mdict.update(matfile_dict)
/Users/michelangelo/anaconda2/lib/python2.7/site-packages/scipy/io/matlab/mio5.pyc in get_variables(self, variable_names)
290 continue
291 try:
--> 292 res = self.read_var_array(hdr, process)
293 except MatReadError as err:
294 warnings.warn(
/Users/michelangelo/anaconda2/lib/python2.7/site-packages/scipy/io/matlab/mio5.pyc in read_var_array(self, header, process)
250 `process`.
251 '''
--> 252 return self._matrix_reader.array_from_header(header, process)
253
254 def get_variables(self, variable_names=None):
mio5_utils.pyx in scipy.io.matlab.mio5_utils.VarReader5.array_from_header()
mio5_utils.pyx in scipy.io.matlab.mio5_utils.VarReader5.array_from_header()
mio5_utils.pyx in scipy.io.matlab.mio5_utils.VarReader5.read_real_complex()
mio5_utils.pyx in scipy.io.matlab.mio5_utils.VarReader5.read_numeric()
mio5_utils.pyx in scipy.io.matlab.mio5_utils.VarReader5.read_element()
streams.pyx in scipy.io.matlab.streams.FileStream.read_string()
IOError: could not read bytes
最佳答案
不幸的是 fetch_mldata() 在最新版本的 sklearn 中已被替换为 fetch_openml()。
所以,而不是使用:
from sklearn.datasets import fetch_mldata
mnist = fetch_mldata('MNIST original')
您必须使用:from sklearn.datasets import fetch_openml
mnist = fetch_openml('mnist_784')
x = mnist.data
y = mnist.target
x 的形状将是 = (70000,784)y 的形状将是 = (70000,)
关于python - 无法使用 sklearn 加载 'mnist-original' 数据集,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/47324921/