BNMPy.simulation_evaluator ========================== The simulation_evaluator module provides tools for evaluating PBN simulations against experimental data. .. automodule:: BNMPy.simulation_evaluator :members: :undoc-members: :show-inheritance: SimulationEvaluator Class ------------------------- .. autoclass:: BNMPy.simulation_evaluator.SimulationEvaluator :members: :undoc-members: :show-inheritance: Overview -------- The SimulationEvaluator calculates the objective function for optimization by comparing PBN steady-state predictions with experimental measurements. It handles experimental conditions (stimuli/inhibitors) and computes mean squared error (MSE). This module is automatically used by ParameterOptimizer. See Also -------- - :doc:`parameter_optimizer` - Main optimization interface - :doc:`experiment_data` - Experimental data handling - :doc:`steady_state` - Steady state calculation methods