On Sun, Nov 27, 2011 at 10:03 PM, Kenneth C. Arnold <kcarn...@seas.harvard.edu> wrote: > a Mac side note: > > I have found that MacPorts solves most of my > getting-things-running-on-Mac problems. Either you can just use their > packages directly, often with precompiled binary downloads, or at > least `port info py27-scipy` will show you the package names for the > dependencies. (I'm currently running the MacPorts numpy package and > scipy from github, FWIW.) > > The only thing that has annoyed me about scientific computing with > MacPorts is that when it installs atlas from source, it does the > complete CPU profiling to find the optimal parameters for your > hardware. You'd think, given the moderate number of combinations of > Mac hardware, that we could share those results. > > -Ken
Sounds interesting. How does such an installation of atlas compare to the Accelerate framework, or whatever it's called---the optimized library from Apple? Vlad > > > On Sun, Nov 27, 2011 at 5:35 AM, Vlad Niculae <v...@vene.ro> wrote: >> Hello Massimo >> >> I believe this is an issue others, including me, have faced: >> >> https://github.com/scikit-learn/scikit-learn/issues/445 >> https://github.com/scikit-learn/scikit-learn/issues/330 >> >> I reverted to the stable versions of numpy and scipy from their >> website, and the bleeding-edge scikit-learn, and it works. >> I find it very difficult to compile numpy and scipy on macos so I >> guess I'll personally just wait for the next superpack, unless you, >> Fabian or someone else can point me to the correct combination of >> Python, C compiler, FORTRAN compiler and flags. >> >> Also I'm not sure what "fixed in current version" means. The numpy bug >> doesn't seem fixed, but I think the bleeding-edge scikit-learn won't >> trip on it anymore. I took the easy way out :) >> >> Best, >> Vlad >> >> On Sun, Nov 27, 2011 at 7:23 AM, Massimo Di Stefano >> <massimodisa...@gmail.com> wrote: >>> >>> Hi All, >>> >>> i'm running osx lion with the default system python. >>> I have installed on my system the following version for python, bumpy, >>> scipy : >>> >>> >>> >>> Python 2.7.1 (r271:86832, Jun 16 2011, 16:59:05) >>> [GCC 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2335.15.00)] on >>> darwin >>>>>> import numpy as np >>>>>> import scipy as sp >>> >>>>>> np.version.version >>> '2.0.0.dev-7297785' >>> >>>>>> sp.version.version >>> '0.11.0.dev-04b8d87' >>> >>>>>> sklearn.__version__ >>> '0.9' >>> >>> >>> i've installed sklearn using easy_install -U >>> >>> running the test : >>> >>> python -c "import sklearn; sklearn.test()" >>> >>> >>> i received a python segfault, >>> the shel log is [0] while the osx log is [1] >>> >>> http://www.geofemengineering.it//log/scikit_log.txt >>> http://www.geofemengineering.it//log/scikit_osx_log.txt >>> >>> need i to try again a dev ersion of sklearn or provide any other info to >>> debug this problem ? >>> >>> thanks a lot! >>> >>> Massimo. >>> >>> >>> >>> ------------------------------------------------------------------------------ >>> All the data continuously generated in your IT infrastructure >>> contains a definitive record of customers, 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-novd2d >>> _______________________________________________ >>> Scikit-learn-general mailing list >>> Scikit-learn-general@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >>> >> >> ------------------------------------------------------------------------------ >> All the data continuously generated in your IT infrastructure >> contains a definitive record of customers, 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-novd2d >> _______________________________________________ >> Scikit-learn-general mailing list >> Scikit-learn-general@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> > > ------------------------------------------------------------------------------ > All the data continuously generated in your IT infrastructure > contains a definitive record of customers, 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-novd2d > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, 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-novd2d _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
