BNMPy.simulation_evaluator¶

The simulation_evaluator module provides tools for evaluating PBN simulations against experimental data.

class BNMPy.simulation_evaluator.SimulationEvaluator(pbn, experiments, config=None, nodes_to_optimize=None, normalize=False)[source]¶

Bases: object

Evaluation engine for PBN parameter optimization Handles experiment simulation and SSE calculation

Methods

`get_parameter_bounds`()	Get bounds for optimization parameters Now returns bounds only for nodes being optimized
`objective_function`(cij_vector)	Calculate objective function (MSE) for given parameters

__init__(pbn, experiments, config=None, nodes_to_optimize=None, normalize=False)[source]¶: Initialize evaluator with PBN and experiments

objective_function(cij_vector: ndarray) → float[source]¶: Calculate objective function (MSE) for given parameters

get_parameter_bounds() → List[tuple][source]¶: Get bounds for optimization parameters Now returns bounds only for nodes being optimized