Upgraded from Python 2.6 -> 2.7, then installed numpy, scipy, and
scikit-learn on that. Now starting to gt to grips with sklearn.
Thanks for advice, Nigel.
Regards,
Nigel Legg
07722 652866
http://twitter.com/nigellegg
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On 6 May 2013 09:01, Jaques Grobler <jaquesgrob...@gmail.com> wrote:
> Any luck with the numpy reinstall?
>
>
> 2013/5/4 Nigel Legg <nigel.l...@gmail.com>
>
>> Machine is x86 running Windows7. Both installed from prepackaged. Will
>> try reinstalling numpy.
>>
>>
>> On 4 May 2013 15:29, Lars Buitinck <l.j.buiti...@uva.nl> wrote:
>>
>>> 2013/5/4 Nigel Legg <nigel.l...@gmail.com>:
>>> > Traceback (most recent call last):
>>> > File "C:\Python26\churnnltk\scikitkmeans.py", line 5, in <module>
>>> > from sklearn.datasets import fetch_20newsgroups
>>> > File "C:\Python26\lib\site-packages\sklearn\datasets\__init__.py",
>>> line 7,
>>> > in <module>
>>> > from .base import load_diabetes
>>> > File "C:\Python26\lib\site-packages\sklearn\datasets\base.py", line
>>> 24, in
>>> > <module>
>>> > from ..utils import check_random_state
>>> > File "C:\Python26\lib\site-packages\sklearn\utils\__init__.py", line
>>> 9, in
>>> > <module>
>>> > from .murmurhash import murmurhash3_32
>>> > File "numpy.pxd", line 155, in init sklearn.utils.murmurhash
>>> > (sklearn\utils\murmurhash.c:5029)
>>> > ValueError: numpy.dtype has the wrong size, try recompiling
>>> >
>>> > Does this mean I have the wrong version of numpy for the version of
>>> > scikit-learn I have installed?
>>>
>>> Looks like your NumPy and scikit-learn disagree on the sizes of
>>> integers. What is your machine's architecture (x86, x86_64) and how
>>> did you install NumPy and scikit-learn (from source or prepackaged)?
>>>
>>> --
>>> Lars Buitinck
>>> Scientific programmer, ILPS
>>> University of Amsterdam
>>>
>>>
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>>
>>
>>
>> --
>> Regards,
>>
>> Nigel Legg
>> 07722 652866
>> http://twitter.com/nigellegg
>> http://uk.linkedin.com/in/nigellegg
>>
>> Pllease visit
>> http://www.indiegogo.com/projects/happygraphs-for-10-uk-cities/x/2841429to
>> sponsor happygraphs for UK cities.
>>
>>
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>
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