macrostat.models.IOPC.IOPC#

class macrostat.models.IOPC.IOPC(parameters: ParametersIOPC | None = <macrostat.models.IOPC.parameters.ParametersIOPC object>, variables: VariablesIOPC | None = None, scenarios: ScenariosIOPC | None = None, *args, **kwargs)[source]#

IOPC model class for Marco Veronese Pasarella’s 3IO-PC model

__init__(parameters: ParametersIOPC | None = <macrostat.models.IOPC.parameters.ParametersIOPC object>, variables: VariablesIOPC | None = None, scenarios: ScenariosIOPC | None = None, *args, **kwargs)[source]#

Initialize the IOPC model.

Parameters:

parameters (ParametersIOPC | None) – The parameters of the model. If None, default parameters will be used.
variables (VariablesIOPC | None) – The variables of the model. If None, default variables will be used.
scenarios (ScenariosIOPC | None) – The scenarios of the model. If None, default scenarios will be used.

Methods

`__init__`(parameters, variables, scenarios, ...)	Initialize the IOPC model.
`compute_theoretical_steady_state`([scenario])	Compute the theoretical steady state of the model.
`get_model_training_instance`([scenario])	Simulate the model.
`load`(path)	Class method to load a model instance from a pickled file.
`save`(path)	Save the model object as a pickled file
`simulate`([scenario])	Simulate the model.
`to_json`(file_path, args, *kwargs)	Convert the model to a JSON file split into parameters, scenarios, and variables.

Attributes