pyhgf.model.add_continuous_state#

pyhgf.model.add_continuous_state(network, n_nodes, value_parents, volatility_parents, value_children, volatility_children, node_parameters, additional_parameters, coupling_fn)[source]#

Add continuous state node(s) to a network.

Parameters:

  • network (Network) – The neural network to which the node(s) are added.

  • n_nodes (int) – The number of identical node(s) to add.

  • value_parents (tuple) – The value parents of the node(s), as a tuple of indexes and coupling strengths.

  • volatility_parents (tuple) – The volatility parents of the node(s), as a tuple of indexes and coupling strengths.

  • value_children (tuple) – The value children of the node(s), as a tuple of indexes and coupling strengths.

  • volatility_children (tuple) – The volatility children of the node(s), as a tuple of indexes and coupling strengths.

  • node_parameters (dict) – A dictionary of parameters overriding the node defaults.

  • additional_parameters (dict) – Additional parameters passed as keyword arguments, validated against the node defaults.

  • coupling_fn (tuple[Optional[Callable], ...]) – The coupling function(s) between the node(s) and their value children. None implies linear coupling.

Returns:

The updated neural network.

Return type:

network