- Language: en
METHOD_OPTIONS¶
Type: dict_record
method options for comp_script
Example:-
METHOD_OPTIONS:
py_module: comp
rand_seed: 12345
float_format: default
py_module¶
Type: one_of(comp)
Python module required to process this script file
Example:-
py_module: comp
rand_seed¶
Option to set seed to make run result reproducible -e.g. when debugging.
Example:-
rand_seed: 12345
PARALLEL¶
Type: one_of_record
one of many possible servers
Example:-
PARALLEL:
SINGLE: {}
DESCRIPTION¶
Type: dict_record
Description fields for script.
Example:-
DESCRIPTION:
name: example
title: A PKPD model
author: A.N. Other
abstract: |
keywords: []
FILE_PATHS¶
Type: dict_record
File paths for comp script
Example:-
FILE_PATHS:
output_folder: auto
temp_folder: auto
log_folder: auto
output_file_ext: ['svg']
delete_old_files_flag: False
gen_script_path: auto
gen_output_folder: auto
fit_script_path: auto
fit_output_folder: auto
output_folder¶
Type: output_folder / auto
Output folder - results of computation stored here
Example:-
output_folder: auto
temp_folder¶
Type: output_folder / auto
Temp folder - temporary files stored here
Example:-
temp_folder: auto
log_folder¶
Type: output_folder / auto
Log folder - log files stored here
Example:-
log_folder: auto
output_file_ext¶
Type: list_of(pdf,png,svg)
Output file extension - determines graphical output file format.
Example:-
output_file_ext: ['svg']
delete_old_files_flag¶
Type: bool
Option to delete any existing files before running.
Example:-
delete_old_files_flag: False
gen_output_folder¶
Type: output_folder / auto
Gen script output folder.
Example:-
gen_output_folder: auto
fit_output_folder¶
Type: output_folder / auto
Fit script output folder.
Example:-
fit_output_folder: auto
COMP_OPTIONS¶
Type: dict_record
Options for comp script
Example:-
COMP_OPTIONS:
create_gen_vs_fit_raw_graph: True
create_gen_vs_fit_dense_graph: True
compute_gen_objective_value: True
compute_fit_objective_value: True
share_axes: False
y_scale: linear
create_gen_vs_fit_raw_graph¶
Type: bool
Create raw graph to compare final fit result vs gen data.
Example:-
create_gen_vs_fit_raw_graph: True
create_gen_vs_fit_dense_graph¶
Type: bool
Create dense graph to compare final fit result vs gen data.
Example:-
create_gen_vs_fit_dense_graph: True
compute_gen_objective_value¶
Type: bool
Compute objective value of generated data given generated parameters.
Example:-
compute_gen_objective_value: True
compute_fit_objective_value¶
Type: bool
Compute objective value of generated data using fitted parameters.
Example:-
compute_fit_objective_value: True
y_scale¶
Type: one_of(linear,log)
y axis scale - can be either ‘linear’ or ‘log’.
Example:-
y_scale: linear