ReservoirPy API reference

• Node operations - link, merge (reservoirpy.ops)
  • reservoirpy.ops.link
  • reservoirpy.ops.link_feedback
  • reservoirpy.ops.merge
• Node API (reservoirpy.Node)
  • Node
• Models (reservoirpy.Model)
  • Model
  • FrozenModel
• ReservoirPy Nodes (reservoirpy.nodes)
  • Reservoirs
  • Offline readouts
  • Online readouts
  • Optimized ESN
  • Activation functions
  • Input and Output
  • Operators
• Weights initialization (reservoirpy.mat_gen)
  • reservoirpy.mat_gen.random_sparse
  • reservoirpy.mat_gen.uniform
  • reservoirpy.mat_gen.normal
  • reservoirpy.mat_gen.bernoulli
  • reservoirpy.mat_gen.zeros
  • reservoirpy.mat_gen.ones
  • reservoirpy.mat_gen.generate_internal_weights
  • reservoirpy.mat_gen.generate_input_weights
  • reservoirpy.mat_gen.fast_spectral_initialization
  • reservoirpy.mat_gen.Initializer
• Activations functions (reservoirpy.activationsfunc)
  • reservoirpy.activationsfunc.get_function
  • reservoirpy.activationsfunc.identity
  • reservoirpy.activationsfunc.sigmoid
  • reservoirpy.activationsfunc.tanh
  • reservoirpy.activationsfunc.relu
  • reservoirpy.activationsfunc.softmax
  • reservoirpy.activationsfunc.softplus
• Metrics and observables (reservoirpy.observables)
  • reservoirpy.observables.spectral_radius
  • reservoirpy.observables.mse
  • reservoirpy.observables.rmse
  • reservoirpy.observables.nrmse
  • reservoirpy.observables.rsquare
• Datasets (reservoirpy.datasets)
  • Chaotic timeseries on continuous time
  • Chaotic timeseries on discrete time
  • Classification/pattern recognition tasks
  • Miscellaneous
• Hyperparameter optimization helpers (reservoirpy.hyper)
  • reservoirpy.hyper.research
  • reservoirpy.hyper.plot_hyperopt_report
• ReservoirPy v0.2 tools (reservoirpy.compat)
  • Load and backport
  • ESN and ESNOnline
  • Regression models
• Experimental features (reservoirpy.experimental)
  • Nodes