Refactored exogenous data handling in the forward pass and training. This enabled deletion of some specialized models, which creates breaking changes.
Dual data handler added for using different datasets for low res and high res data for training. For example, low_res = ERA5 data and high_res = WTK.
GAPS integration for command line interface and job handling. Allowed removal of reV dependency.
What's Changed
* Bnb/dev by bnb32 in https://github.com/NREL/sup3r/pull/148
* WindGanDC model by bnb32 in https://github.com/NREL/sup3r/pull/150
* Bnb/bc smoothing by bnb32 in https://github.com/NREL/sup3r/pull/151
* Bnb/dev by bnb32 in https://github.com/NREL/sup3r/pull/152
* Bug fix for conditional moment with topography by malihass in https://github.com/NREL/sup3r/pull/149
* Use multi gpu for conditional moment estimation by malihass in https://github.com/NREL/sup3r/pull/157
* Bnb/log interp by bnb32 in https://github.com/NREL/sup3r/pull/155
* Gb/skill by grantbuster in https://github.com/NREL/sup3r/pull/163
* Bnb/h5 with era training by bnb32 in https://github.com/NREL/sup3r/pull/162
* Bnb/dual dh patch by bnb32 in https://github.com/NREL/sup3r/pull/164
* Bnb/ws power law by bnb32 in https://github.com/NREL/sup3r/pull/165
* bug fix on bias calc object initialization named args and cli parsing by grantbuster in https://github.com/NREL/sup3r/pull/166
* Bnb/exo refactor by bnb32 in https://github.com/NREL/sup3r/pull/167
* GAPs integration by ppinchuk in https://github.com/NREL/sup3r/pull/168
* Bnb/exo refactor plus by bnb32 in https://github.com/NREL/sup3r/pull/169
* Update version.py by bnb32 in https://github.com/NREL/sup3r/pull/170
New Contributors
* ppinchuk made their first contribution in https://github.com/NREL/sup3r/pull/168
**Full Changelog**: https://github.com/NREL/sup3r/compare/v0.1.0...v0.1.1