Nrel-phygnn

What’s Changed

Spatiotemporalexpansion layer was not able to handle new coarse dimensions. Fixed that and tested.

* Gb/st expand bug (32) grantbuster

What’s Changed

* Gb/unpack st (31) grantbuster

What’s Changed

* Gb/sup3r features (30) grantbuster

What’s Changed

Major refactor of phygnn architecture to break out a custom network base class and isolate a module for custom phygnn layers. The reorganization will likely cause breaking changes for old saved phygnn models.

* Gb/refactor (29) grantbuster

What’s Changed

Better integration and testing across all TF versions from 1.15 to 2.6.

* Gb/fix tf save (26) grantbuster
* fixed tf save model bug in tf2.6, still works in 2.4 (25) grantbuster

What’s Changed

Significant refactor to allow for convolutional layers in the phygnn model along with multi dimensional features or labels (tested up to 5D features). Includes BREAKING CHANGES with the phygnn model save/load functionality. The model Layers handler object is now saved directly to the pkl file instead of trying to save and load model weights.

* Gb/conv rnn layers (24) grantbuster
* Gb/nsrdb gan (23) grantbuster