2.5.2. pywhy_graphs.functional.apply_linear_soft_intervention#
- pywhy_graphs.functional.apply_linear_soft_intervention(G, targets: Set[int | float | str | Any], type: str = 'additive', random_state=None)[source]#
Applies a soft intervention to a linear Gaussian graph.
- Parameters:
- GGraph
Linear functional causal graph.
- targetsSet[Node]
The set of nodes to intervene on simultanenously.
- typestr, optional
Type of intervention, by default “additive”.
- random_stateRandomState, optional
Random seed, by default None.
- Returns:
- GGraph
The functional linear causal graph with the intervention applied on the target nodes. The perturbation occurs on the
gaussian_noise_functionof the target nodes. That is, the soft intervention, perturbs the exogenous noise of the target nodes.