Nrel-phygnn

Latest version: v0.0.29

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0.0.10

What’s Changed

* Gb/better history (22) grantbuster

0.0.9

What’s Changed

* incremented veresion for doi release (21) grantbuster

0.0.8

What’s Changed

Breaking change: switched position of y_true and y_predicted in p_fun to match the keras metrics methods.

* Gb/gan (20) grantbuster

Bug Fixes

* add shuffle to model interfaces (19) MRossol

0.0.7

What’s Changed

phygnn wasnt executing dropout layers correctly. The Dropout layer object needed a boolean flag to know if it was training or not. Fixed with additional tests.

* Gb/dropout bug (18) grantbuster

0.0.6

What’s Changed

* phygnn save() to now save optimizer config dict instead of optimizer … (17) grantbuster

0.0.5

What’s Changed

* 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

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