Arepa

New functionality:

• Postmodel Analysis (#482)
• Stores Timechop image to disk (#590)
• Add matrix uuid to evaluations tables [Resolves #591] (#593)
• Experiment Profiling [Resolves #557] (#558)

Bug fixes:

• Postmodel fixes (#604)
• Fixes #598 (#600)
• Series equality operator [Resolves #563] (#564)
• Fix MatrixStore memory leak [Resolves #594]
• Fix empty/columns check on HDFStore [Resolves #589] (#592)
• Fix upgrade_db to use filehandle [Resolves #572]
• Fix FromObj.maybe_materialize [Resolves #565] (#566)
• support 5 GB multipart upload threshold via S3Fs (#546)

General Improvements:

• Scheduled monthly dependency update for February (#588)
• Namespace cohort and labels tables by their config [Resolves #574] (#576)
• Only Build Features for Cohort [Resolves #513] (#567)
• Colocate Testing with Training [Resolves #560] (#569)
• Upgrade PyYAML to current security-patched release
• Skip Prediction Saving [Resolves #559]
• Scheduled monthly dependency update for January (#562)
• Materialize Subquery From Objects [Resolves #554] (#555)
• Skip already-evaluated models [Resolves #540] (#541)
• Throw warning if unscaled logit is used [Resolves #508] (#548)
• support in develop script for detection of pyenv installed via Homebrew
• upgrade install-cli to better support non-GNU (MacOS)
• Cohort Generation respects replace flag [Resolves #503]

Refactoring/Documentation:

• Add Audition, Postmodeling, Dirty Duck references to docs (#599)
• audition_config file
• Audition config correct (#601)
• Experiment Architecture Doc [Resolves #579] (#580)
• docs: make proper list of experiment upgrading links
• Cohort and Label Deep Dive [Resolves #492] (#577)
• Disable individual importance in example experiment config (#568)
• Tweak language in running document