EstimationSteps

class pharmpy.model.EstimationSteps(steps=())

Bases: Sequence, Immutable

A sequence of estimation steps

Parameters:

steps (iterable or None) – Used for initialization

Methods Summary

create([steps])
from_dict(d)
replace(**kwargs)
to_dataframe()	Convert to DataFrame
to_dict()

Methods Documentation

classmethod create(steps=None)

classmethod from_dict(d)

replace(**kwargs)

to_dataframe()

Convert to DataFrame

Use this to create an overview of all estimation steps

Returns:

• pd.DataFrame – DataFrame overview

• >>> from pharmpy.modeling import load_example_model

• >>> model = load_example_model(“pheno”)

• >>> model.estimation_steps.to_dataframe() # doctest (+ELLIPSIS)

• method interaction parameter_uncertainty_method … auto keep_every_nth_iter tool_options

• 0 FOCE True SANDWICH … None None {}

to_dict()