PythonでMNIST Originalデータセットをロードしようとしています。 sklearn.datasets.fetch_openml
関数はこれでは機能しないようです。
これが私が使っているコードです-
from sklearn.datasets import fetch_openml
dataset = fetch_openml("MNIST Original")
私はこのエラーを受け取ります-
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
どうすれば修正できますか?あるいは、MNISTデータセットをPythonにロードする他の方法はありますか?
scikit-learn
のバージョン0.20.2を使用しています。
私は一般にプログラミングに比較的慣れていないので、簡単な答えが得られればありがたいです。ありがとう!
試す
mnist = fetch_openml('mnist_784')
https://www.openml.org/d/554 の下に https://www.openml.org/ で見つけました
あなたは使うことができます:
mist = fetch_openml('mnist_784', version=1)
fetch_mldataはscikit-learn v0.20から廃止されました
import sklearn
sklearn.__version__
from sklearn.datasets import fetch_openml
X, y = fetch_openml('mnist_784', version=1, return_X_y=True)