This is a simple (and parallelizable) tuning method for cdec
which is able to train the weights of very many (sparse) features
on the training set.

It was used in these papers:
>  "Joint Feature Selection in Distributed Stochastic
>   Learning for Large-Scale Discriminative Training in
>   SMT" (Simianer, Riezler, Dyer; ACL 2012)
>
>  "Multi-Task Learning for Improved Discriminative
>   Training in SMT" (Simianer, Riezler; WMT 2013)
>


Building
--------
Builds when building cdec, see ../BUILDING .
To build only parts needed for dtrain do
```
  autoreconf -ifv
  ./configure
  cd training/dtrain/; make
```

Running
-------
See directories under examples/ .

Legal
-----
Copyright (c) 2012-2013 by Patrick Simianer <p@simianer.de>

See the file LICENSE.txt in the root folder for the licensing terms that this software is
released under.