CHANGES
=======

0.2.0
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* Update version to 0.2.0
* Added script to release to pypi
* Add \_\_version\_\_ to sconce package
* Remove MNISTTest base test class
* DataGenerator classmethod to load pytorch datasets
* Rewording
* Add author and author\_email (pypi requires it)
* Add 'installation' and 'getting started' sections to README

0.1.0
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* bump version
* RingbufferMonitor has 'movement\_index' property
* Add constant rate controller with patience
* Remove torch and torchvision from requirments.txt
* Add 'calculate\_metrics' support
* Allow setting of test\_to\_train\_ratio per training session
* Display training loss during learning rate survey
* Make ExponentialRateController able to stop early
* Make it so that rate\_controllers can end training
* Journals and StatusMonitors are now just Monitors
* Fix wrong dataset class used in tests
* Make autoencoder and classifier trainers into mixins
* Set env variable to choose matplotlib backend in tests
* Add a server setup guide
* dummy commit
* Be more careful about checking for cuda in tests
* Add ClassifierTrainer and test model
* Make autoencoder test run much faster
* Move flake8 to be before tests so we can fail faster
* Add Trainer and basic model to test with
* Better default blacklist for DataframeJournal
* Model.calculate\_loss returns 'loss' not 'total\_loss'
* DataGenerators now generate Variables
* Allow MNISTTests to use subset of MNIST data for speedup
* Add DataframeJournal
* Added RateControllers
* Pull in Progbar from keras
* Extract reset method
* Add vim swap files to gitignore
* Add Project files and DataGenerator
* Initial commit
