Using the Graphical Models Toolkit (GMTK) under Condor

Known limitations

Currently, GMTK makes system calls to the C preprocessor cpp when loading files, so it can therefore only be used under the Condor Vanilla Universe. We are hoping Jeff will fix this before too long...

Using Condor/GMTK with Python

There is a locally written version of the Perl Condor API in Python, so that Condor can be controlled entirely from within Python; also Python functions can be used as callbacks from Condor. On top of this, there are some routines that easily handle submission of single or parallel jobs to Condor, monitoring the return values. Examples of the use of these scripts are available: we have used them for performing parallel training/decoding in GMTK. More details to follow. In the meantime, contact Peter Bell (s0566164@inf) if you'd like to use them.

Implementing EM Training Schedules with DAGs

DAGs (directed acyclic graphs) can be used to schedule an EM training schedule.

There is an example of EM iteration until log-likelihood has converged in ~s0565860/projects/em_scheduling/. Submitting the DAG in submit/converge.dag will start things off - everything is still pointing to my work though so just look rather than run! I'll update when there's a publicly runnable version.

There's an example of a for loop on the way - contact Partha Lal (s0565860@inf) meanwhile.

Local GMTK tools

Checkout a copy from the CVS repository "gmtk_tools". Apply for access at https://www.inf.ed.ac.uk/systems/cvs/new/