报错
python
HTTPError Traceback (most recent call last)
Cell In[3], line 5
2 from sklearn.datasets import fetch_california_housing
3 from sklearn.model_selection import train_test_split
----> 5 X, Y = fetch_california_housing(return_X_y=True)
6 print(X.shape), # (20640, 8)
7 print(Y.shape) # (20640, )
File ~\miniconda3\lib\site-packages\sklearn\datasets\_california_housing.py:138, in fetch_california_housing(data_home, download_if_missing, return_X_y, as_frame)
132 raise IOError("Data not found and `download_if_missing` is False")
134 logger.info(
135 "Downloading Cal. housing from {} to {}".format(ARCHIVE.url, data_home)
136 )
--> 138 archive_path = _fetch_remote(ARCHIVE, dirname=data_home)
140 with tarfile.open(mode="r:gz", name=archive_path) as f:
141 cal_housing = np.loadtxt(
142 f.extractfile("CaliforniaHousing/cal_housing.data"), delimiter=","
143 )
File ~\miniconda3\lib\site-packages\sklearn\datasets\_base.py:1324, in _fetch_remote(remote, dirname)
1302 """Helper function to download a remote dataset into path
1303
1304 Fetch a dataset pointed by remote's url, save into path using remote's
(...)
1320 Full path of the created file.
1321 """
1323 file_path = remote.filename if dirname is None else join(dirname, remote.filename)
-> 1324 urlretrieve(remote.url, file_path)
1325 checksum = _sha256(file_path)
1326 if remote.checksum != checksum:
File ~\miniconda3\lib\urllib\request.py:241, in urlretrieve(url, filename, reporthook, data)
224 """
225 Retrieve a URL into a temporary location on disk.
226
(...)
237 data file as well as the resulting HTTPMessage object.
238 """
239 url_type, path = _splittype(url)
--> 241 with contextlib.closing(urlopen(url, data)) as fp:
242 headers = fp.info()
244 # Just return the local path and the "headers" for file://
245 # URLs. No sense in performing a copy unless requested.
File ~\miniconda3\lib\urllib\request.py:216, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
214 else:
215 opener = _opener
--> 216 return opener.open(url, data, timeout)
File ~\miniconda3\lib\urllib\request.py:525, in OpenerDirector.open(self, fullurl, data, timeout)
523 for processor in self.process_response.get(protocol, []):
524 meth = getattr(processor, meth_name)
--> 525 response = meth(req, response)
527 return response
File ~\miniconda3\lib\urllib\request.py:634, in HTTPErrorProcessor.http_response(self, request, response)
631 # According to RFC 2616, "2xx" code indicates that the client's
632 # request was successfully received, understood, and accepted.
633 if not (200 <= code < 300):
--> 634 response = self.parent.error(
635 'http', request, response, code, msg, hdrs)
637 return response
File ~\miniconda3\lib\urllib\request.py:563, in OpenerDirector.error(self, proto, *args)
561 if http_err:
562 args = (dict, 'default', 'http_error_default') + orig_args
--> 563 return self._call_chain(*args)
File ~\miniconda3\lib\urllib\request.py:496, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
494 for handler in handlers:
495 func = getattr(handler, meth_name)
--> 496 result = func(*args)
497 if result is not None:
498 return result
File ~\miniconda3\lib\urllib\request.py:643, in HTTPDefaultErrorHandler.http_error_default(self, req, fp, code, msg, hdrs)
642 def http_error_default(self, req, fp, code, msg, hdrs):
--> 643 raise HTTPError(req.full_url, code, msg, hdrs, fp)
HTTPError: HTTP Error 403: Forbidden先手动下载数据（https://www.dcc.fc.up.pt/\~ltorgo/Regression/cal_housing.tgz）
PS：
-
报错文件
File ~\miniconda3\lib\site-packages\sklearn\datasets\_california_housing.py:138, in fetch_california_housing(data_home, download_if_missing, return_X_y, as_frame)
-
找到文件打开，43行有下载地址
-
复制下载后的
cal_housing.tgz文件到指定文件夹，无需解压。需要复制到的文件夹需要从代码里获取，获取代码如下：
4.更改
_california_housing.py文件,将def fetch_california_housing()这个函数内的archive_path这段代码更改为如下
重启 jupyter notebook即可，Windows系统也相同操作