On Sat, Sep 24, 2011 at 8:28 AM, Vlad Niculae <[email protected]> wrote:
> Import errors were the real issue here. The failing test is a numerical
> stability issue that has already been raised somewhere else.
>
> Thank you for your help confirming that the latest build works, and my
> deepest apologies for the buggy binaries before!
>
> We have 3/3 confirming, I think the issue can be closed and I can be
> rehabilitated in the public eye :)
>
So what numpy does it work with then?
Josef
>
> Best,
> Vlad
>
> On Sat, Sep 24, 2011 at 3:25 PM, <[email protected]> wrote:
>
>>
>>
>> On Sat, Sep 24, 2011 at 8:08 AM, Vlad Niculae <[email protected]> wrote:
>>
>>> The date should be 24th I think since I uploaded it late at night.
>>> You can get it from PyPI:
>>> http://pypi.python.org/pypi?:action=display&name=scikit-learn&version=0.9
>>> I sure hope it will work, there have been two success stories on this
>>> thread.
>>>
>>> Sorry for the whole mixup.
>>>
>>
>> I didn't see the exe file on pypi this morning
>>
>> importing svm is fine, tests raise some errors
>>
>> What's the numpy requirement? I didn't see any information in the
>> documentation about version requirements.
>> http://scikit-learn.sourceforge.net/stable/install.html
>>
>> ======================================================================
>> FAIL: Check the performance of hashing numpy arrays:
>> ----------------------------------------------------------------------
>>
>> Traceback (most recent call last):
>> File "C:\Python26\lib\site-packages\nose-1.0.0-py2.6.egg\nose\case.py",
>> line 1
>> 87, in runTest
>> self.test(*self.arg)
>> AssertionError
>>
>> ======================================================================
>> FAIL: Check that lars_path is robust to collinearity in input
>> ----------------------------------------------------------------------
>>
>> Traceback (most recent call last):
>> File "C:\Python26\lib\site-packages\nose-1.0.0-py2.6.egg\nose\case.py",
>> line 1
>> 87, in runTest
>> self.test(*self.arg)
>> File
>> "C:\Python26\lib\site-packages\sklearn\linear_model\tests\test_least_angl
>> e.py", line 86, in test_collinearity
>> assert_array_almost_equal(np.dot(X, coef_path_[:, -1]), y)
>> File "C:\Python26\lib\site-packages\numpy\testing\utils.py", line 774,
>> in asse
>> rt_array_almost_equal
>> header='Arrays are not almost equal')
>> File "C:\Python26\lib\site-packages\numpy\testing\utils.py", line 618,
>> in asse
>> rt_array_compare
>> raise AssertionError(msg)
>> AssertionError:
>> Arrays are not almost equal
>>
>> (mismatch 100.0%)
>> x: array([ 0.5 , -0.25 , -0.125])
>> y: array([ 1., 0., 0.])
>>
>> ======================================================================
>> FAIL: Test either above import has failed for some reason
>> ----------------------------------------------------------------------
>>
>> Traceback (most recent call last):
>> File "C:\Python26\lib\site-packages\nose-1.0.0-py2.6.egg\nose\case.py",
>> line 1
>> 87, in runTest
>> self.test(*self.arg)
>> File "C:\Python26\lib\site-packages\sklearn\tests\test_init.py", line
>> 24, in t
>> est_import_skl
>> assert_equal(_top_import_error, None)
>> AssertionError: ImportError('numpy.core.multiarray failed to import',) !=
>> None
>>
>> ----------------------------------------------------------------------
>> Ran 761 tests in 74.646s
>>
>> FAILED (SKIP=2, errors=5, failures=3)
>> <nose.result.TextTestResult run=761 errors=5 failures=3>
>>
>> The other errors all look like
>> ImportError: numpy.core.multiarray failed to import
>>
>> >>> import numpy
>> >>> numpy.__version__
>> '1.5.1'
>> >>>
>>
>> Josef
>>
>>
>>> Vlad
>>>
>>> On Sat, Sep 24, 2011 at 3:04 PM, <[email protected]> wrote:
>>>
>>>>
>>>>
>>>> On Sat, Sep 24, 2011 at 7:52 AM, Vlad Niculae <[email protected]> wrote:
>>>>
>>>>> Hi Josef,
>>>>> Does this (still) happen using the installer uploaded yesterday
>>>>> evening?
>>>>>
>>>>
>>>> I downloaded it this morning after I saw Gael's initial message, but
>>>> maybe the new file hasn't propagated yet on sourceforge
>>>>
>>>> scikit-learn-0.9.win32-py2.6.exe<http://sourceforge.net/projects/scikit-learn/files/scikit-learn-0.9.win32-py2.6.exe/download>
>>>> 2011-09-22
>>>> 1,702,188 bytes
>>>>
>>>> I don't have a hash.
>>>>
>>>> Josef
>>>>
>>>>
>>>>>
>>>>> Best,
>>>>> Vlad
>>>>>
>>>>> On Sat, Sep 24, 2011 at 1:37 PM, <[email protected]> wrote:
>>>>> >
>>>>> >
>>>>> > On Sat, Sep 24, 2011 at 5:20 AM, Gael Varoquaux
>>>>> > <[email protected]> wrote:
>>>>> >>
>>>>> >> On Thu, Sep 22, 2011 at 09:25:30AM -0700, hesety wrote:
>>>>> >> > >>> from sklearn import svm
>>>>> >>
>>>>> >> > Traceback (most recent call last):
>>>>> >> > File "<pyshell#0>", line 1, in <module>
>>>>> >> > from sklearn import svm
>>>>> >> > File "C:\Python26\lib\site-packages\sklearn\__init__.py", line
>>>>> 19, in
>>>>> >> > <module>
>>>>> >> > raise ImportError("Please do not forget to run `make` first")
>>>>> >> > ImportError: Please do not forget to run `make` first
>>>>> >>
>>>>> >>
>>>>> >> > I installed 'scikit-learn-0.9.win32-py2.6' in just simple
>>>>> 'double-click
>>>>> >> > '.
>>>>> >>
>>>>> >> > Is it bugs?
>>>>> >>
>>>>> >> This does look like 'bugs' to me. I can't reproduce is, but I am not
>>>>> >> under Windows, so it doesn't mean much. Can you give us the contents
>>>>> of
>>>>> >> your C:\Python26\lib\site-packages\sklearn\check_build directory,
>>>>> please?
>>>>> >>
>>>>> >> Can other people reproduce this? It would be great to diagnose it,
>>>>> as if
>>>>> >> this is what Windows users are getting, it is not a great user
>>>>> experience
>>>>> >> :)
>>>>> >
>>>>> > also with doubleclick install on Windows 7, I get a different
>>>>> exceptions
>>>>> > after running sklearn.test() first
>>>>> >
>>>>> > Ran 476 tests in 37.315s
>>>>> >
>>>>> > FAILED (SKIP=1, errors=21, failures=5)
>>>>> > <nose.result.TextTestResult run=476 errors=21 failures=5>
>>>>> >
>>>>> >>>> from sklearn import svm
>>>>> > Traceback (most recent call last):
>>>>> > File "<stdin>", line 1, in <module>
>>>>> > File "C:\Python26\lib\site-packages\sklearn\svm\__init__.py", line
>>>>> 13, in
>>>>> > <mod
>>>>> > ule>
>>>>> > from .classes import SVC, NuSVC, SVR, NuSVR, OneClassSVM,
>>>>> LinearSVC
>>>>> > File "C:\Python26\lib\site-packages\sklearn\svm\classes.py", line
>>>>> 2, in
>>>>> > <modul
>>>>> > e>
>>>>> > from ..linear_model.base import CoefSelectTransformerMixin
>>>>> > File
>>>>> "C:\Python26\lib\site-packages\sklearn\linear_model\__init__.py",
>>>>> > line 26
>>>>> > , in <module>
>>>>> > from .logistic import LogisticRegression
>>>>> > File
>>>>> "C:\Python26\lib\site-packages\sklearn\linear_model\logistic.py",
>>>>> > line 5,
>>>>> > in <module>
>>>>> > from ..svm.base import BaseLibLinear
>>>>> > File "C:\Python26\lib\site-packages\sklearn\svm\base.py", line 3,
>>>>> in
>>>>> > <module>
>>>>> > from . import libsvm, liblinear
>>>>> > ImportError: DLL load failed: The specified procedure could not be
>>>>> found.
>>>>> >
>>>>> >>>> sklearn.__file__
>>>>> > 'C:\\Python26\\lib\\site-packages\\sklearn\\__init__.pyc'
>>>>> >>>> sklearn.__version__
>>>>> > '0.9'
>>>>> >>>>
>>>>> >
>>>>> > Josef
>>>>> >
>>>>> >>
>>>>> >> Gael
>>>>> >>
>>>>> >>
>>>>> >>
>>>>> ------------------------------------------------------------------------------
>>>>> >> All of the data generated in your IT infrastructure is seriously
>>>>> valuable.
>>>>> >> Why? It contains a definitive record of application performance,
>>>>> security
>>>>> >> threats, fraudulent activity, and more. Splunk takes this data and
>>>>> makes
>>>>> >> sense of it. IT sense. And common sense.
>>>>> >> http://p.sf.net/sfu/splunk-d2dcopy2
>>>>> >> _______________________________________________
>>>>> >> Scikit-learn-general mailing list
>>>>> >> [email protected]
>>>>> >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>>>>> >
>>>>> >
>>>>> >
>>>>> ------------------------------------------------------------------------------
>>>>> > All of the data generated in your IT infrastructure is seriously
>>>>> valuable.
>>>>> > Why? It contains a definitive record of application performance,
>>>>> security
>>>>> > threats, fraudulent activity, and more. Splunk takes this data and
>>>>> makes
>>>>> > sense of it. IT sense. And common sense.
>>>>> > http://p.sf.net/sfu/splunk-d2dcopy2
>>>>> > _______________________________________________
>>>>> > Scikit-learn-general mailing list
>>>>> > [email protected]
>>>>> > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>>>>> >
>>>>> >
>>>>>
>>>>>
>>>>> ------------------------------------------------------------------------------
>>>>> All of the data generated in your IT infrastructure is seriously
>>>>> valuable.
>>>>> Why? It contains a definitive record of application performance,
>>>>> security
>>>>> threats, fraudulent activity, and more. Splunk takes this data and
>>>>> makes
>>>>> sense of it. IT sense. And common sense.
>>>>> http://p.sf.net/sfu/splunk-d2dcopy2
>>>>> _______________________________________________
>>>>> Scikit-learn-general mailing list
>>>>> [email protected]
>>>>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>>>>>
>>>>
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> All of the data generated in your IT infrastructure is seriously
>>>> valuable.
>>>> Why? It contains a definitive record of application performance,
>>>> security
>>>> threats, fraudulent activity, and more. Splunk takes this data and makes
>>>> sense of it. IT sense. And common sense.
>>>> http://p.sf.net/sfu/splunk-d2dcopy2
>>>> _______________________________________________
>>>> Scikit-learn-general mailing list
>>>> [email protected]
>>>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>>>>
>>>>
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> All of the data generated in your IT infrastructure is seriously
>>> valuable.
>>> Why? It contains a definitive record of application performance, security
>>> threats, fraudulent activity, and more. Splunk takes this data and makes
>>> sense of it. IT sense. And common sense.
>>> http://p.sf.net/sfu/splunk-d2dcopy2
>>> _______________________________________________
>>> Scikit-learn-general mailing list
>>> [email protected]
>>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>>>
>>>
>>
>>
>> ------------------------------------------------------------------------------
>> All of the data generated in your IT infrastructure is seriously valuable.
>> Why? It contains a definitive record of application performance, security
>> threats, fraudulent activity, and more. Splunk takes this data and makes
>> sense of it. IT sense. And common sense.
>> http://p.sf.net/sfu/splunk-d2dcopy2
>> _______________________________________________
>> Scikit-learn-general mailing list
>> [email protected]
>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>>
>>
>
>
> ------------------------------------------------------------------------------
> All of the data generated in your IT infrastructure is seriously valuable.
> Why? It contains a definitive record of application performance, security
> threats, fraudulent activity, and more. Splunk takes this data and makes
> sense of it. IT sense. And common sense.
> http://p.sf.net/sfu/splunk-d2dcopy2
> _______________________________________________
> Scikit-learn-general mailing list
> [email protected]
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
>
------------------------------------------------------------------------------
All of the data generated in your IT infrastructure is seriously valuable.
Why? It contains a definitive record of application performance, security
threats, fraudulent activity, and more. Splunk takes this data and makes
sense of it. IT sense. And common sense.
http://p.sf.net/sfu/splunk-d2dcopy2
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