1.0 Release on PyPi

This is major release that modifies the MERF API in a backward-incompatible way. There are a number of things added to this release. The highlights:

• Added ability to add any fixed effects learner, e.g. gradient boosting, deep learning
• Added ability to add validation set and track validation loss during training process
• Updated code to work with pandas 1.0+
• Added a plotting utility to look at results of training
• Added documentation built using Sphinx
• Added more unit tests for pickling, typing, plotting, etc.
• Small bug fixes
• Moved CI over to GitHub Actions
• Published documentation using GitHub pages
• Moved over to Orbyter 2.0
• Moved to Makefile for builds, CI, linting

0.3 Release on PyPi

This release contain some additions from the community:

• Ability to pass all random forest parameters
• Early stopping
• Addition of CircleCI
• Removal of some unecessary files