Active learning NN, collaboration with UKAEA
- Modified
evaluate_network
to process nets with multiple outputs, but still only returns 1 output (first output of given NN) - Added 2D relu function (left 1D relu for HornNets)
- Added function to handle classification NNs
-
discretize_classifier_output
converts real number output to "indices" based on input thresholds -
impose_classifier_constraint
multiples classifier output column with other columns based on map
-
- Extended character length of network filename variable to allow longer names
- Added names, default settings, load function, evaluate function, CLI, and make instructions for new network named
adept
- Added git-LFS pointers to new network namelist files
- Updated
data/README.md
to include new repository foradept
weights and biases (currently a private repo)
Edited by Aaron