History for M-LOOP/setup.py
Commits on Nov 4, 2016
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Updated the documentation. Candidate for new version to be released on PyPI
Commits on Oct 22, 2016
Commits on Oct 13, 2016
Commits on Oct 4, 2016
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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.
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Command Line now supported on Windows
Command Line now works on windows as well as Linux and MacOS
Commits on Sep 14, 2016
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Fixed windows setuptools multiprocessing issues
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.
Commits on Sep 13, 2016
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Queue listener and logger have been removed as they were causing issues on Windows and python 2. Logging in a process is now direct to the cmd line. There are no duplicate loggers anymore.
Commits on Sep 10, 2016
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Added python 2 backward compatability
Updated the package so it now works on python 2 and 3. All use of super had to be updated and compatibility headers were added to all module
michaelhush committedSep 10, 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 30, 2016
Commits on Aug 25, 2016
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michaelhush committed
Aug 25, 2016 -
Fixed name testing filename bugs
michaelhush committedAug 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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