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  • PRML-master运行notebook报错问题

    问题描述

    使用fetch_mldata函数一直下载不下来数据集

    from sklearn.datasets import fetch_mldata
    mnist = fetch_mldata('MNIST original')

    使用时报错问题

    D:CodeSoftwareanacondalibsite-packagessklearnutilsdeprecation.py:85: DeprecationWarning: Function fetch_mldata is deprecated; fetch_mldata was deprecated in version 0.20 and will be removed in version 0.22. Please use fetch_openml.
    warnings.warn(msg, category=DeprecationWarning)
    D:CodeSoftwareanacondalibsite-packagessklearnutilsdeprecation.py:85: DeprecationWarning: Function mldata_filename is deprecated; mldata_filename was deprecated in version 0.20 and will be removed in version 0.22. Please use fetch_openml.
    warnings.warn(msg, category=DeprecationWarning)
    TimeoutError Traceback (most recent call last)
    D:CodeSoftwareanacondaliburllib equest.py in do_open(self, http_class, req, **http_conn_args)
    1316 h.request(req.get_method(), req.selector, req.data, headers,
    -> 1317 encode_chunked=req.has_header('Transfer-encoding'))
    1318 except OSError as err: # timeout error
    D:CodeSoftwareanacondalibhttpclient.py in request(self, method, url, body, headers, encode_chunked)
    1228 """Send a complete request to the server."""
    -> 1229 self._send_request(method, url, body, headers, encode_chunked)
    1230
    D:CodeSoftwareanacondalibhttpclient.py in _send_request(self, method, url, body, headers, encode_chunked)
    1274 body = _encode(body, 'body')
    -> 1275 self.endheaders(body, encode_chunked=encode_chunked)
    1276
    D:CodeSoftwareanacondalibhttpclient.py in endheaders(self, message_body, encode_chunked)
    1223 raise CannotSendHeader()
    -> 1224 self._send_output(message_body, encode_chunked=encode_chunked)
    1225
    D:CodeSoftwareanacondalibhttpclient.py in _send_output(self, message_body, encode_chunked)
    1015 del self._buffer[:]
    -> 1016 self.send(msg)
    1017
    D:CodeSoftwareanacondalibhttpclient.py in send(self, data)
    955 if self.auto_open:
    --> 956 self.connect()
    957 else:
    D:CodeSoftwareanacondalibhttpclient.py in connect(self)
    927 self.sock = self._create_connection(
    --> 928 (self.host,self.port), self.timeout, self.source_address)
    929 self.sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)
    D:CodeSoftwareanacondalibsocket.py in create_connection(address, timeout, source_address)
    726 if err is not None:
    --> 727 raise err
    728 else:
    D:CodeSoftwareanacondalibsocket.py in create_connection(address, timeout, source_address)
    715 sock.bind(source_address)
    --> 716 sock.connect(sa)
    717 # Break explicitly a reference cycle
    TimeoutError: [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应,连接尝试失败。
    During handling of the above exception, another exception occurred:
    URLError Traceback (most recent call last)
    in
    ----> 1 mnist = fetch_mldata("MNIST original")
    2 # from keras.datasets import mnist
    3 # mnist = mnist.load_data()
    4 # # Load the dataset
    5 # # (X_train, ), (, _) = mnist.load_data("E:/VSCodeWorkspace/algorithm/data/mnist.npz")
    D:CodeSoftwareanacondalibsite-packagessklearnutilsdeprecation.py in wrapped(args, **kwargs)
    84 def wrapped(
    args, **kwargs):
    85 warnings.warn(msg, category=DeprecationWarning)
    ---> 86 return fun(*args, **kwargs)
    87
    88 wrapped.doc = self._update_doc(wrapped.doc)
    D:CodeSoftwareanacondalibsite-packagessklearndatasetsmldata.py in fetch_mldata(dataname, target_name, data_name, transpose_data, data_home)
    124 urlname = MLDATA_BASE_URL % quote(dataname)
    125 try:
    --> 126 mldata_url = urlopen(urlname)
    127 except HTTPError as e:
    128 if e.code == 404:
    D:CodeSoftwareanacondaliburllib equest.py in urlopen(url, data, timeout, cafile, capath, cadefault, context)
    220 else:
    221 opener = _opener
    --> 222 return opener.open(url, data, timeout)
    223
    224 def install_opener(opener):
    D:CodeSoftwareanacondaliburllib equest.py in open(self, fullurl, data, timeout)
    523 req = meth(req)
    524
    --> 525 response = self._open(req, data)
    526
    527 # post-process response
    D:CodeSoftwareanacondaliburllib equest.py in _open(self, req, data)
    541 protocol = req.type
    542 result = self._call_chain(self.handle_open, protocol, protocol +
    --> 543 '_open', req)
    544 if result:
    545 return result
    D:CodeSoftwareanacondaliburllib equest.py in call_chain(self, chain, kind, meth_name, args)
    501 for handler in handlers:
    502 func = getattr(handler, meth_name)
    --> 503 result = func(
    args)
    504 if result is not None:
    505 return result
    D:CodeSoftwareanacondaliburllib equest.py in http_open(self, req)
    1343
    1344 def http_open(self, req):
    -> 1345 return self.do_open(http.client.HTTPConnection, req)
    1346
    1347 http_request = AbstractHTTPHandler.do_request

    D:CodeSoftwareanacondaliburllib equest.py in do_open(self, http_class, req, **http_conn_args)
    1317 encode_chunked=req.has_header('Transfer-encoding'))
    1318 except OSError as err: # timeout error
    -> 1319 raise URLError(err)
    1320 r = h.getresponse()
    1321 except:
    URLError:

    解决

    这个地方将mnist数据集下载下来,之后放到相应文件夹下

    相应文件夹查询方式:

    from sklearn.datasets.base import get_data_home
    print (get_data_home())

    如我的电脑上的目录为:C:UsersAdministratorscikit_learn_datamldata
    那么需要将下载下来的数据集 mnist-original.mat 放到这个目录下

    问题参考

    教程网址:
    https://www.e-learn.cn/content/qita/1963569
    https://github.com/ageron/handson-ml/issues/143

    数据集下载地址:
    https://github.com/amplab/datascience-sp14/raw/master/lab7/mldata/mnist-original.mat

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  • 原文地址:https://www.cnblogs.com/philokami/p/11745314.html
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