import pandas as pd
from pharmpy.results import Results
[docs]class AggregatedModelfitResults(Results):
def __init__(self, ofv=None, parameter_estimates=None):
self.ofv = ofv
self.parameter_estimates = parameter_estimates
[docs]def calculate_results(models):
names = [model.name for model in models]
ofvs = [model.modelfit_results.ofv for model in models]
ofv = pd.Series(ofvs, index=names)
ofv.name = 'OFV'
params = pd.DataFrame(
[model.modelfit_results.parameter_estimates for model in models], index=names
)
res = AggregatedModelfitResults(ofv=ofv, parameter_estimates=params)
return res