michaelhush/M-LOOP

Fixed bug with GP fitting data with bad runs.

Documentation and setup tweaks

Candidate for version 2.1.0 release.

Docupdate

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.

Updating the documentation to prepare for the 2.1.0 release.

Deleted unnecessary line from TravisCI config.

Differential evolution added to M-LOOP.

Differential Evolution now been added to M-LOOP and is set to the
default trainer for the gaussian process. Tests and examples have been
added. The installation section of the documentation has also been
updated.

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.

First version of differential evolution complete. Next testing will be
investigated

Continuing the implementation.

Started modifying the differential evolution code from scipy for use in
M-LOOP.

Attempting to define the correct python version explicitly.

Copied syntax for conditional test from facebook example. Hopefully
will work now.

Added $ to variable name

Travis test 2.7 now works, but only after updating to 2.7.12 (why on
earth Travis CI defaults to 2.7.9 is beyond me. ) but trying to update
3.5 creates an error, attempted to add a conditional test to get around
this.

Setuptools updated

Travis CI is basically broken for python 2.7. Still trying to fix it.

The problem with Travis CI is it uses a very old version of pip when
testing on python 2.7. Attempted to add a command to upgrade pip first
before running installation.

Hopefully this fixes travis CI

Added requirements file and updated travis to make more conservative
tests.

Sciki-learn 0.18 has now officially been released as the new stable
version. It is also available in the anaconda distribution. We have
removed the scikit-learn code that was included with M-LOOP previously
and now have it has a dependency.

Command Line now works on windows as well as Linux and MacOS

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.

There was a small indentation error in the M-LOOP executable. This has
been fixed.

Updated for the git tag update

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.

Added install for dependency issues

Added configuration file