ExecutionSteps#

class pharmpy.model.ExecutionSteps(steps=())[source]#

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)[source]#
classmethod from_dict(d)[source]#
replace(**kwargs)[source]#
to_dataframe()[source]#

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.execution_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()[source]#