load_state

TwinModel.load_state(model_id, evaluation_time, epsilon=1e-08)

Load a state that has been saved by a twin model instantiated with the same TWIN file.

Note

Calling this method replaces evaluation initialization.

Parameters:

model_idstr

ID of the model that saved the state.

evaluation_timefloat

Evaluation time at which the state was saved.

epsilonfloat, optional

Absolute period that is added before and after the evaluation time to account for round-off error while searching the saved state. The default value is 1e-8. The search is performed in the interval [t-epsilon, t+epsilon] with t being the evaluation time. The first saved state found in this interval is loaded.

Raises:

TwinModelError:

If no state has been saved by the model with the given model ID and same model name as the one calling this method.

Examples

>>> from pytwin import TwinModel
>>> # Instantiate a TwinModel, initialize it and evaluate it step by step until you want to save its state
>>> model1 = TwinModel('model.twin')
>>> model1.initialize_evaluation()
>>> model1.evaluate_step_by_step(step_size=0.1)
>>> model1.save_state()
>>> # Instantiate a new TwinModel with same twin file and load the saved state
>>> model2 = TwinModel('model.twin')
>>> model2.load_state(model_id=model1.id, evaluation_time=model1.evaluation_time)
>>> model2.evaluate_step_by_step(step_size=0.1)