Question

I m 试图装满NMNIST原始数据集。 <代码>sklearn.datasets.fetch_ openml功能似乎在发挥作用。

这里是使用Im的代码。

from sklearn.datasets import fetch_openml
dataset = fetch_openml("MNIST Original")

我发现这一错误。

File "generateClassifier.py", line 11, in <module>
  dataset = fetch_openml("MNIST Original")
  File "/home/inglorion/.local/lib/python3.5/site- 
packages/sklearn/datasets/openml.py", line 526, in fetch_openml
data_info = _get_data_info_by_name(name, version, data_home)
  File "/home/inglorion/.local/lib/python3.5/site- 
packages/sklearn/datasets/openml.py", line 302, in 
_get_data_info_by_name
    data_home)
  File "/home/inglorion/.local/lib/python3.5/site- 
packages/sklearn/datasets/openml.py", line 169, in 
_get_json_content_from_openml_api
    raise error
  File "/home/inglorion/.local/lib/python3.5/site- 
packages/sklearn/datasets/openml.py", line 164, in 
_get_json_content_from_openml_api
    return _load_json()
  File "/home/inglorion/.local/lib/python3.5/site- 
packages/sklearn/datasets/openml.py", line 52, in wrapper
    return f()
  File "/home/inglorion/.local/lib/python3.5/site- 
packages/sklearn/datasets/openml.py", line 160, in _load_json
    with closing(_open_openml_url(url, data_home)) as response:
  File "/home/inglorion/.local/lib/python3.5/site- 
packages/sklearn/datasets/openml.py", line 109, in _open_openml_url
with closing(urlopen(req)) as fsrc:
  File "/usr/lib/python3.5/urllib/request.py", line 163, in urlopen
    return opener.open(url, data, timeout)
  File "/usr/lib/python3.5/urllib/request.py", line 472, in open
    response = meth(req, response)
  File "/usr/lib/python3.5/urllib/request.py", line 582, in 
http_response
     http , request, response, code, msg, hdrs)
  File "/usr/lib/python3.5/urllib/request.py", line 510, in error
    return self._call_chain(*args)
  File "/usr/lib/python3.5/urllib/request.py", line 444, in 
_call_chain
    result = func(*args)
  File "/usr/lib/python3.5/urllib/request.py", line 590, in 
http_error_default
    raise HTTPError(req.full_url, code, msg, hdrs, fp)
        urllib.error.HTTPError: HTTP Error 400: Bad Request

我如何确定这一点? 另一种方式是,是否还有其他方式将多国专家小组的数据集装入沙丘?

I m 采用scikit-learn0.2版。

I m relatively new to programming in general, so I would appreciate it if I could get a simple answer. Thanks!

Answer 1

Try

mnist = fetch_openml( mnist_784 )

I found it via https://www.openml.org/ under https://www.openml.org/d/554

Answer 2

Method fetch_openml() download dataset from mldata.org which is not stable and can not connect. An alternative way is manually to download the data set from the original data. You can download data from Kaggle(mnist data) and run the following code

from scipy.io import loadmat
mnist = loadmat("../input/mnist-original.loadmat")
mnist_data = mnist["data"].T
mnist_label = mnist["label"][0]

Answer 3

you can use:

mist = fetch_openml( mnist_784 , version=1)

Answer 4

fetch_mldata is deprecated since scikit-learn v0.20

Test sklearn version

import sklearn
sklearn.__version__

Import Dataset

from sklearn.datasets import fetch_openml
X, y = fetch_openml( mnist_784 , version=1, return_X_y=True)

Example

https://scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html

Answer 5

I was also facing similar problem. Updating sklearn s version worked for me

我刚刚掌握以下指挥权:

conda update scikit-learn

然后,你可以做这样的事情。

import nltk
import sklearn

print( nltk version: {}. .format(nltk.__version__))
print( scikit-learn version: {}. .format(sklearn.__version__))

不要忘记在更新雕刻版后重新启用炉.。

Answer 6

mnist = fetch_openml(mnist_784)

Test sklearn version

Import Dataset

Example

友情链接