pyhgf.updates.prediction.continuous.continuous_node_prediction_mean_field#
- pyhgf.updates.prediction.continuous.continuous_node_prediction_mean_field(attributes, node_idx, edges, **args)[source]#
Mean-field (v0.2.11) prediction step for a continuous node.
Uses the simple v0.2.11 formula: no MGF correction on volatility total, no Laplace value-coupling variance term.
- Parameters:
attributes (dict) – The attributes of the probabilistic nodes.
node_idx (int) – Pointer to the node that will be updated.
edges (tuple[AdjacencyLists, ...]) – The edges of the probabilistic nodes as a tuple of
pyhgf.typing.AdjacencyLists. The tuple has the same length as the node number. For each node, the index lists the value and volatility parents and children.
- Returns:
The updated attributes of the probabilistic nodes.
- Return type: