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 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
