History for M-LOOP/docs
Commits on Mar 29, 2017
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Fixed one param visualization bug and typos in documentation
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.
Commits on Nov 4, 2016
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Updated the documentation. Candidate for new version to be released on PyPI
Commits on Oct 21, 2016
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Tweaks to tutorials documentation
charmasaur committed on GitHubOct 21, 2016
Commits on Oct 13, 2016
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Update to documentation complete. Now describes how to use the shell interface, the differential evolution optimizer and using M-LOOP as an MPI.
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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.
Commits on Oct 12, 2016
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Updating the documentation to prepare for the 2.1.0 release.
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Completed Differential Evolution
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.
Commits on Sep 12, 2016
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Update doc to indicate bilingual support
Documentation has been updated to reflect the support of python 2 and 3. Also deleted some code which treated the interface as a multiprocessing class.
michaelhush committedSep 12, 2016
Commits on Sep 8, 2016
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Removed step from install instructions on installing scikit-learn as the source is now already included.
michaelhush committedSep 8, 2016
Commits on Sep 1, 2016
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Small update for documentation issues with read the docs
Hard coded some versions
michaelhush committedSep 1, 2016 -
Completed documentation. Fixed a few bugs with file writing formats with ‘txt’ in particular
michaelhush committedSep 1, 2016
Commits on Aug 25, 2016
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michaelhush committed
Aug 25, 2016 -
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.
michaelhush committedAug 25, 2016
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