Skip to content
Snippets Groups Projects
Select Git revision
  • publish
  • master default protected
  • arch2
  • recover_lost_data
  • manuscript
  • improved-allele-parsing
  • 202010-phospho
  • gh-pages
  • pre-2.0
  • 1.7.0c
  • 3-flank-variant
  • 1.7.0b
  • 1.7.0
  • pre-presentation-refactor2
  • 20200121_pre_presentation_refactor
  • issue-149
  • 201911
  • ligandome-prediction
  • docs-pan-motifs
  • v1.3
  • pre-2.1
  • v2.0.1
  • v2.0.0
  • pre-2.0
  • 1.6.1
  • pre-1.7.0
  • pre_presentation_refactor
  • 1.6.0
  • 1.4.0
  • pre-1.4.0
  • pan-dev1
  • 1.2.2
  • 1.2.0
  • pre-1.2.1
  • pre-1.2
  • pre-1.1
  • 1.0.0
  • pre-1.0
  • 0.9.2
  • 0.9.1
40 results
Blame Permalink
  • Tim O'Donnell's avatar
    854f96a9
    Reuse Keras models optimization · 854f96a9
    Tim O'Donnell authored 
    This should give a substantial prediction speed improvement as identified by @rohanpai

* Add borrow_cached_network() method to Class1NeuralNetwork
* Use cached models at in Class1NeuralNetwork.predict
* Set names for all neural network layers so the model JSON is identical for identical architectures
    854f96a9
    History
    Reuse Keras models optimization
    Tim O'Donnell authored 
    This should give a substantial prediction speed improvement as identified by @rohanpai

* Add borrow_cached_network() method to Class1NeuralNetwork
* Use cached models at in Class1NeuralNetwork.predict
* Set names for all neural network layers so the model JSON is identical for identical architectures