Changelog for release 0.0.4-alpha (11/19/2014)

This release focuses mostly on new features and bug fixing.

Added experimental support for MariaDB / MySQL / MySQL Cluster. See
Using DeepDive with MySQL for
details, including limitations of the current support. The code base was
refactored to make it much easier to add support for additional DBMS in the
future.
Ported Tuffy to DeepDive. It is now
possible to run Tuffy programs for Markov Logic Networks on DeepDive. See
Markov Logic Networks for details.
Added a graphical interface called Mindtagger to label data products for
estimating precision/recall. See Labeling Data Products of
DeepDive and files under examples/labeling/ in
the source tree.
Added support for the DEEPDIVE_HOME environmental variable. It's now possible
to run applications from any location, when this variable is set. See
Installation for details.
Added support for -c datacopies to the DimmWitted sampler (Linux only!).
This allows to control the number of replications of the data. It is useful
for performing inference on very large factor graphs while leveraging on
NUMA. See The DimmWitted High-Speed Sampler for
details.
Fixed integer overflow bug (and use of scientific notation) in tobinary.py.
This allows to use DeepDive for inference on very large factor graphs.
Fix a bug when using multinomial and GreenPlum: the mapping from weight ID and
weight description is not consistent
Fixed various bugs (including known JDBC bug) that prevented DeepDive from
performing inference on very large factor graphs.

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