Nrel-phygnn

What’s Changed

Added phygnn model as input to p_fun. This will enable custom loss functions that can evaluate predictions of the model at the current moment in training.

Added dummy pfun for user example.

* Added phygnn model instance as input arg to p_fun. Added dummy exaple (11) grantbuster

What’s Changed

Features

* PhygnnModel (10) MRossol

Bug Fixes

* Gb/batch norm (9) grantbuster
* Gb/loss metric bugs (8) grantbuster

What’s Changed

- Move normalize and unnormalize methods from BaseMethod to PreProcess
- Add check for stdev values of ~0 and replace with 1s

Features

* move normalization methods to PreProcessing (7) MRossol

What’s Changed

* model_interfaces sub-package added with interfaces for TfModel and RandomForestModel
* utilities moved to utilities sub-package

Features

* Model Interfaces (6) MRossol

What’s Changed

Initial alpha release with phygnn module and supporting utilities.

* Gb/regularization (5) grantbuster
* Allow one hot encoding categories to be specified (3) mikebannis
* started docs files (4) grantbuster
* Check for loss=nan and throw exception (2) mikebannis
* Gb/improvements (1) grantbuster