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  • Node API (reservoirpy.Node)
  • Models (reservoirpy.Model)
  • ReservoirPy Nodes (reservoirpy.nodes)
    • reservoirpy.nodes.Reservoir
    • reservoirpy.nodes.NVAR
    • reservoirpy.nodes.IPReservoir
    • reservoirpy.nodes.LocalPlasticityReservoir
    • reservoirpy.nodes.Ridge
    • reservoirpy.nodes.ScikitLearnNode
    • reservoirpy.nodes.LMS
    • reservoirpy.nodes.RLS
    • reservoirpy.nodes.FORCE
    • reservoirpy.nodes.ESN
    • reservoirpy.nodes.Tanh
    • reservoirpy.nodes.Sigmoid
    • reservoirpy.nodes.Softmax
    • reservoirpy.nodes.Softplus
    • reservoirpy.nodes.ReLU
    • reservoirpy.nodes.Identity
    • reservoirpy.nodes.Input
    • reservoirpy.nodes.Output
    • reservoirpy.nodes.Concat
    • reservoirpy.nodes.Delay
  • 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.ring
    • reservoirpy.mat_gen.line
    • reservoirpy.mat_gen.orthogonal
    • 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
    • reservoirpy.observables.memory_capacity
    • reservoirpy.observables.effective_spectral_radius
  • Datasets (reservoirpy.datasets)
    • reservoirpy.datasets.mackey_glass
    • reservoirpy.datasets.lorenz
    • reservoirpy.datasets.multiscroll
    • reservoirpy.datasets.doublescroll
    • reservoirpy.datasets.rabinovich_fabrikant
    • reservoirpy.datasets.lorenz96
    • reservoirpy.datasets.rossler
    • reservoirpy.datasets.kuramoto_sivashinsky
    • reservoirpy.datasets.mso
    • reservoirpy.datasets.mso2
    • reservoirpy.datasets.mso8
    • reservoirpy.datasets.logistic_map
    • reservoirpy.datasets.henon_map
    • reservoirpy.datasets.narma
    • reservoirpy.datasets.japanese_vowels
    • reservoirpy.datasets.santafe_laser
    • reservoirpy.datasets.to_forecasting
    • reservoirpy.datasets.one_hot_encode
    • reservoirpy.datasets.from_aeon_classification
    • reservoirpy.datasets.set_seed
    • reservoirpy.datasets.get_seed
  • Hyperparameter optimization helpers (reservoirpy.hyper)
    • reservoirpy.hyper.research
    • reservoirpy.hyper.plot_hyperopt_report
  • ReservoirPy v0.2 tools (reservoirpy.compat)
    • reservoirpy.compat.load_compat
    • reservoirpy.compat.load
    • reservoirpy.compat.ESN
    • reservoirpy.compat.ESNOnline
    • reservoirpy.compat.regression_models.RidgeRegression
  • Node operations - link, merge (reservoirpy.ops)
    • reservoirpy.ops.link
    • reservoirpy.ops.link_feedback
    • reservoirpy.ops.merge
  • ReservoirPy API reference
  • Node operations - link, merge (reservoirpy.ops)

Node operations - link, merge (reservoirpy.ops)#

Operations on Node and Model.

link(node1, node2[, name])

Link two Node instances to form a Model instance.

link_feedback(node, feedback[, inplace, name])

Create a feedback connection between the feedback node and node.

merge(model, *models[, inplace, name])

Merge different Model or Node instances into a single Model instance.

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