test failed after installation in ubuntu12 #1808
Comments
That's very strange. It seems that you have an old version of joblib |
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I haven't encountered any problem when using 'import joblib'. using 'dpkg' to check what I installed the joblib, following messages show: " python-joblib 0.5.4-1 tools to provide lightweight pipelining in Python". I think I have no problem of package 'python-joblib', right? BTW, I tested some examples without errors. But I am still worrying about the future works. Could you help again? |
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OK, so you have version 0.5.4 of joblib, installed by the system) and you are trying to use a recent version of the scikit (Which version? How did you install it?) that clearly requires a more recent version of joblib (compression was added in 0.6). |
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@GaelVaroquaux But sklearn should always import joblib from externals, right? Why does it use the system version? |
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The debian packagers have a modified version that imports the system joblib. I am suspecting a mess-up there. |
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oh, alright. |
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Then, how do I update the joblib version to 0.6? |
First, can you please tell us what is the package version for |
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python-joblib, 0.5.4-1 |
Well that's bad news. It seems that the Debian packagers screwed up and I guess that the easiest option is to use both sklearn and joblib from |
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So, I guess we should tell someone at debian about this? |
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@GaelVaroquaux , what should I do to deal with the issue now? Thanks both. |
Technically at Ubuntu, I believe. Cc @yarikoptic |
As I said, I would try installing packages from neurodebian. |
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@GaelVaroquaux , any update? |
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@xianping why don't you use the neurodebian source? |
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@amueller Sorry, I don't know what is the difference between ubuntu and neurodebian. But I have already has ubuntu os installed and other systems are running on that. May I need to update some packages to solve this ? @GaelVaroquaux |
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Just add the neuro debian repository to your apt source list and update scikit-learn and joblib, I think. |
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Seems to be fixed upstream in the meanwhile, closing this issue. |
I installed the package using 'apt-get install python-sklearn', and then tested it by using 'nosetests sklearn --exe', but failed. Error messages below:
ERROR: sklearn.datasets.tests.test_lfw.test_load_fake_lfw_people
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
self.test(_self.arg)
File "/usr/lib/pymodules/python2.7/sklearn/datasets/tests/test_lfw.py", line 120, in test_load_fake_lfw_people
min_faces_per_person=3)
File "/usr/lib/pymodules/python2.7/sklearn/datasets/lfw.py", line 337, in load_lfw_people
return fetch_lfw_people(download_if_missing=download_if_missing, *_kwargs)
File "/usr/lib/pymodules/python2.7/sklearn/datasets/lfw.py", line 266, in fetch_lfw_people
m = Memory(cachedir=lfw_home, compress=6, verbose=0)
TypeError: init() got an unexpected keyword argument 'compress'
-------------------- >> begin captured logging << --------------------
sklearn.datasets.lfw: INFO: Loading LFW people faces from /tmp/scikit_learn_lfw_test_yijxlU/lfw_home
--------------------- >> end captured logging << ---------------------
ERROR: sklearn.datasets.tests.test_lfw.test_load_fake_lfw_people_too_restrictive
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
self.test(_self.arg)
File "/usr/lib/python2.7/dist-packages/nose/tools.py", line 80, in newfunc
func(_arg, *_kw)
File "/usr/lib/pymodules/python2.7/sklearn/datasets/tests/test_lfw.py", line 149, in test_load_fake_lfw_people_too_restrictive
load_lfw_people(data_home=SCIKIT_LEARN_DATA, min_faces_per_person=100)
File "/usr/lib/pymodules/python2.7/sklearn/datasets/lfw.py", line 337, in load_lfw_people
return fetch_lfw_people(download_if_missing=download_if_missing, *_kwargs)
File "/usr/lib/pymodules/python2.7/sklearn/datasets/lfw.py", line 266, in fetch_lfw_people
m = Memory(cachedir=lfw_home, compress=6, verbose=0)
TypeError: init() got an unexpected keyword argument 'compress'
-------------------- >> begin captured logging << --------------------
sklearn.datasets.lfw: INFO: Loading LFW people faces from /tmp/scikit_learn_lfw_test_yijxlU/lfw_home
--------------------- >> end captured logging << ---------------------
ERROR: sklearn.datasets.tests.test_lfw.test_load_fake_lfw_pairs
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
self.test(_self.arg)
File "/usr/lib/pymodules/python2.7/sklearn/datasets/tests/test_lfw.py", line 158, in test_load_fake_lfw_pairs
lfw_pairs_train = load_lfw_pairs(data_home=SCIKIT_LEARN_DATA)
File "/usr/lib/pymodules/python2.7/sklearn/datasets/lfw.py", line 433, in load_lfw_pairs
return fetch_lfw_pairs(download_if_missing=download_if_missing, *_kwargs)
File "/usr/lib/pymodules/python2.7/sklearn/datasets/lfw.py", line 404, in fetch_lfw_pairs
m = Memory(cachedir=lfw_home, compress=6, verbose=0)
TypeError: init() got an unexpected keyword argument 'compress'
-------------------- >> begin captured logging << --------------------
sklearn.datasets.lfw: INFO: Loading train LFW pairs from /tmp/scikit_learn_lfw_test_yijxlU/lfw_home
--------------------- >> end captured logging << ---------------------
Ran 613 tests in 64.717s
FAILED (SKIP=6, errors=3)
ps: my environment :(lsb_release -a)
No LSB modules are available.
Distributor ID: Ubuntu
Description: Ubuntu 12.04.1 LTS
Release: 12.04
Codename: precise
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