* Ohe norm fix (15) MRossol * Allow changing loss weights on phygnn model interface (13) mikebannis * Allow RNG seeding before model initiation (12) mikebannis
Features
* add one_hot_categories to model handlers (14) MRossol
Bug Fixes
* add one_hot_categories to model handlers (14) MRossol
0.0.4
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
- 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
0.0.1
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
0.0.0
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