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Installing and Building

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DavidRagazzi edited this page Sep 15, 2014 · 11 revisions

This chapter aims help you with build and installation issues.

Installation

Currently supported platforms:

  • Linux (32/64bit)
  • Mac OSX

Dependencies:

  • Python (2.7 or later) (with development headers)
  • PIP
  • Nupic
  • NumPy
  • SciPy
  • PyOpenGL
  • PyOpenGL-accelerate
  • PyQt4
  • PyQtGraph

Note: Except Python, PIP and NuPIC, all dependencies above already are automatically installed by PIP package. However some errors might happen due to package conflicts specific of each system environment. In this case, you will have install manually these packages using a package manager like apt, yum, brew, etc.

User instructions

If you want only use it, simply do this:

pip install nustudio

Note: If you get a "permission denied" error when using pip, you may add the --user flag to install to a location in your home directory, which should resolve any permissions issues. Doing this, you may need to add this location to your PATH and PYTHONPATH. Alternatively, you can run pip with 'sudo'.

Once it is installed, you can execute the app using:

nustudio

and then click on Open Project button to open any example to getting started with NuPIC.

Developer instructions

If you want develop, debug, or simply test NuPIC Studio, clone it and follow the instructions:

Using command line

This assumes the NUPIC_STUDIO environment variable is set to the directory where the NuPIC Studio source code exists.

cd $NUPIC_STUDIO
python setup.py build
python setup.py develop

Using an IDE

The following instructions will work in the most Python IDEs:

  • Open your IDE.
  • Open a project specifying the $NUPIC_STUDIO repository folder as location.
  • Click with mouse right button on setup.py file listed on project files and select Run command on pop-up menu. This will call the build process. Check output panel to see the result.
  • If the build was successful, just click on program.py and voilà!

If you don't have a favourite Python IDE, this article can help you to choose one: http://pedrokroger.net/choosing-best-python-ide/

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