michaelhush/M-LOOP

When optimizing one parameter, there were some issues reimporting the
saved files for the visualizations to work. This was due to the
problematic corner case of zero D or one D with one element arrays in
numpy. This has now been sanitized. Also fixed some critical typos in
the documentation.

Updated the documentation.
Candidate for new version to be released on PyPI

Update to documentation complete. Now describes how to use the shell
interface, the differential evolution optimizer and using M-LOOP as an
MPI.

Documentation has been updated to explain all the added features and
also how to use M-LOOP as a python API. Still needs proof reading.

The differential evolution controller has been implemented and is now
set at the default trainer for gaussian process. Tests have been added
to the automated suite and there is some basic visualizations available.
Still have to debug a possible issue with GP andexamples logging and
extras.

This reverts commit 2256b1a.

This reverts commit 801b304.

M-LOOP now supports running experiments through commands on the
computer’s shell. Example has been added, documentation does not
include this change yet.

setup.py test was failing on windows machines because if
__name__==__main__ was not included in the setup.py folder. This has
been fixed. Also updated setup.py to explicitly include all package with
version requirements to help get it working on Travis CI.

Completed documentation.

Fixed a few bugs with file writing formats with ‘txt’ in particular

Added another example for the tutoiral, and made a corresponding test.

Fixed bug with reading matlab files for plots.

Changed some keywords to do with file_types and files.

Moved version to 2.0.1

Complete rewriting of M-LOOP to make it more extensible and improve
performance.

M-LOOP is now includes threading and multiprocessing to remove any
unnecessary delays between experiments.

M-LOOP is installable with setuptool.

M-LOOP now had documentation generated with sphinx.