world.py
def fit_model(self, bounds, n_pars, method='MLE'):
        """This method uses the existing observation and response data to
        determine the set of parameter values that are most likely to cause
        the meassured behavior.
        """

        inference = Inference(ftol = 1e-4, xtol = 1e-8, bounds = bounds,
                           opts = {'np': n_pars})

        if method == 'MLE':
            return inference.infer_posterior(self.__get_log_likelihood)
        else:
            return inference.infer_posterior(self.__get_log_jointprobability)
This method uses the existing observation and response data to
        determine the set of parameter values that are most likely to cause
        the meassured behavior.
        
This method uses the existing observation and response data to
determine the set of parameter values that are most likely to cause
the meassured behavior.
This method uses the existing observation and response data to determine the set of parameter values that are most likely to cause the meassured behavior .
def fit_model(self, bounds, n_pars, method='MLE'):
        inference = Inference(ftol = 1e-4, xtol = 1e-8, bounds = bounds,
                           opts = {'np': n_pars})
        if method == 'MLE':
            return inference.infer_posterior(self.__get_log_likelihood)
        else:
            return inference.infer_posterior(self.__get_log_jointprobability)
def fit_model ( self , bounds , n_pars , method = 'MLE' ) : inference = Inference ( ftol = 1e-4 , xtol = 1e-8 , bounds = bounds , opts = { 'np' : n_pars } ) if method == 'MLE' : return inference . infer_posterior ( self . __get_log_likelihood ) else : return inference . infer_posterior ( self . __get_log_jointprobability )
This method uses the existing observation and response data to
determine the set of parameter values that are most likely to cause
the meassured behavior.
This method uses the existing observation and response data to determine the set of parameter values that are most likely to cause the meassured behavior .
"""This method uses the existing observation and response data to
        determine the set of parameter values that are most likely to cause
        the meassured behavior.
        """
self
bounds
n_pars
method