pyhgf.model.add_constant_state#

pyhgf.model.add_constant_state(network, n_nodes, value_children, volatility_children, node_parameters, coupling_fn)[source]#

Add constant-state (bias) node(s) to a network.

Constant-state nodes hold a fixed mean of 1.0 and precision of 1.0 (fully known bias). They are always wired to their children linearly (coupling_fn is forced to None), have no prediction or update steps, and can only have children, never parents.

Parameters:

  • network (Network)

  • n_nodes (int)

  • value_children (tuple)

  • volatility_children (tuple)

  • node_parameters (dict)

  • coupling_fn (tuple[Optional[Callable], ...])