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
