Can you add a superseded and link on
http://pypi.python.org/pypi/scikits.learn/0.8.1 ?
I think I looked at the wrong pypi page this morning.
Josef
On Sat, Sep 24, 2011 at 8:33 AM, <[email protected]> wrote:
>
>
> 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
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
