Hello Heiko, Thank you for the reply. I believe the problem is not related to Eigen3. I took a look at the script I was trying to run and tried to see where the error was. I narrowed it down to an import statement " from modshogun import LaplacianInferenceMethod ". This import causes a not found error. The exception in the script returns 'Eigen3 needed for Gaussian Processes' which led me to believe that there was a problem in the build. I think the build is OK. However, I am not quite sure why the import does not work. The example I was trying to run is in examples/undocumented/python_modular/graphical/classifier_gaussian_process_binary_classification.py I will try the latest version in git and see if the problem persists.
Thanks, Aref On Fri, Jan 22, 2016 at 3:52 AM, Heiko Strathmann < [email protected]> wrote: > Hi Aref, > > This is weird, can you post a gist with the cmake output somewhere? > > Also, could you try to do the same thing again with the latest git version > of shogun? > > H > > 2016-01-21 20:14 GMT+00:00 Aref Nammari <[email protected]>: > >> Hello, >> >> >> >> I have installed shogun-toolbox version 4.0.0 downloaded from >> shogun-toolbox.org. I installed python –modular and RModular. No errors >> were reported during the build process. I tried several examples and they >> seem to work with the exception of examples requiring Eigen3. During the >> build process I have turned BUNDLE_EIGEN ON and the package appears to have >> been downloaded but when I try some of the examples requiring Eigen3 (such >> Gaussian_processe examples) I get an error “Gaussian processes require >> Eigen3 be installed). I am not sure what the problem is or how to solve it. >> Any help in this area is appreciated. I am running python 2.7.6 and also >> have Anaconda installed. The OS is Ubuntu 14.04 LTS. >> >> >> >> Thanks, >> >> Aref >> > >
