Added run_batch option to archive metadata via compress_metadata switch
Lancet extension now compresses metadata by default when using run_batch
Basic implementation of PatternCoordinator and adjusting gcal_od to the new interface
Basic implementation of PatternCoordinatorImages, modify gcal_od to work with it and provide shouval with example JSON dataset specification
Global definition of x and y, rename available_dims to inherent_dims, avoidance of explicit definition of PatternCoordinatorImage.synthesizedisparity, removed constructor of PatternCoordinator
Change to metafeature approach: Move functions into own classes, so ImaGen and topographica parts are independent
Moved x&y to become synthesize functions as well, added documentation, fixed call of PatternCoordinator so it only gets called once
Allow arbitrary synthetic pattern generator, unified __call__ function in PatternCoordinator
Bugfix in disparity, reordered metafeature_mapping to get disparity to work, created animation for better visualization
Export cells to python files for use in other notebooks

Added minor documentation
Min_separation as parameter
Changed gcal.ty to use PatternCoordinator, support Nature dataset
Initial notebook for early vision class
Deleted num_aff as it is not used in GCAL
Print connection names
Renamed e to label and added documentation
Some more debug output
Added input parameters to tiny.ty
Added analysis code back to model
Remove PatternCoordinatorSynthetic and make PatternCoordinator self-contained instead
Match filename_template with {} rather than ##
Use composer with Composite as default rather than SeparatedComposite
Changed file to use conventions given in Topographica's developer manual
Use param_keywords() from param
Use ClassSelector with is_instance=False from param
Many small hacks and tweaks