Reference

CORNETO’s functionality is built on various classes and functions, which are detailed in this reference. However, for practical guidance on their implementation, it is recommended to consult the Guide, as raw specifications may not always provide sufficient context.

Packages:

• Optimization backend (corneto.backend)
  • Backend
  • CvxpyBackend
  • PicosBackend
  • VarType
  • available_backends
• Handling data (corneto.data)
  • Simple datasets (Data and Sample)
  • Modules
• Input and Output (corneto.io)
  • Metabolism
  • Signaling
• Graph module (corneto.graph)
  • Base classes
  • Random networks
• Network inference (corneto.methods)
  • Methods (corneto.methods)
  • Signaling
  • Metabolism
  • Graph optimization
  • Solution sampling
• Machine learning (corneto.ml)
  • corneto.ml.build_dagnn
  • corneto.ml.index_selector
  • corneto.ml.kfold_nonzero_splits
  • corneto.ml.plot_model
  • corneto.ml.signed_dense
  • corneto.ml.toposort