Python bindings for Bob's Multi-Layer Perceptron and Trainers
This package contains a set of Pythonic bindings for Bob's MLP and Trainers.
Installation
Install it through normal means, via PyPI or use zc.buildout to bootstrap
the package and run test units.
Documentation
The latest version of the documentation can be found here.
Otherwise, you can generate the documentation for this package yourself, after installation, using Sphinx:
$ sphinx-build -b html doc sphinxThis shall place in the directory sphinx, the current version for the
documentation of the package.
Testing
You can run a set of tests using the nose test runner:
$ nosetests -svWarning
If Bob <= 1.2.1 is installed on your python path, nose will automatically load the old version of the insulate plugin available in Bob, which will trigger the loading of incompatible shared libraries (from Bob itself), in to your working binary. This will cause a stack corruption. Either remove the centrally installed version of Bob, or build your own version of Python in which Bob <= 1.2.1 is not installed.
You can run our documentation tests using sphinx itself:
$ sphinx-build -b doctest doc sphinxYou can test overall test coverage with:
$ nosetests --with-coverage --cover-package=bob.learn.mlpThe coverage egg must be installed for this to work properly.
Development
To develop this package, install using zc.buildout, using the buildout
configuration found on the root of the package:
$ python bootstrap.py
...
$ ./bin/buildoutTweak the options in buildout.cfg to disable/enable verbosity and debug
builds.