NuPIC Studio is an all-in-one tool that allows users create a HTM neural network from scratch, train it, collect statistics, and share it among the members of the community. It is not just a visualization tool but an HTM builder, debugger and laboratory for experiments. It is ideal for newbies with little intimacy with NuPIC code as well as experts that wish a better productivity. Among its features and advantages:
- Users can open, save, or change their “HTM projects” or of other developers. A typical project contains data to be trained, neural network configuration, statistics, etc, which can be shared to be analysed or integrated with other projects.
- The HTM engine is the own original NuPIC libray (Python distribution). This means no port, no bindings, no re-implementation, etc. So any changes in the original nupic source can be immediatedly viewed. This helps users that wish test improvements like new encoders or even hierarchy, attention, and motor integration.
Currently supported platforms:
- Linux (32/64bit)
- Mac OSX
- Python (2.7 or later)
If you want only use it, simply do this:
pip install nupic_studio
Note: Dear *nix users, 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:
and then click on
Open Project button to open any example to getting started with NuPIC.
If you want develop, debug, or simply test NuPIC Studio, clone it and follow the instructions:
Using command line
This assumes the
NUPIC_STUDIOenvironment 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_STUDIOrepository folder as location.
- Click with mouse right button on
setup.pyfile listed on project files and select
Runcommand on pop-up menu. This will call the build process. Check
outputpanel to see the result.
- If the build was successful, just click on
If you don’t have a favourite Python IDE, this article can help you to choose one: http://pedrokroger.net/choosing-best-python-ide/