Create pyDarwin Postprocess Options

Generates a list of postprocessing options to be used in pyDarwin optimization process.

Usage

pyDarwinOptionsPostprocess(
  use_r = FALSE,
  post_run_r_code = "{project_dir}/simplefunc.R",
  r_timeout = 30,
  use_python = FALSE,
  post_run_python_code = "{project_dir}/simplefunc.py"
)

Arguments

use_r

Logical: Whether to use R for postprocessing. If set to TRUE, R will be used to execute the post-processing script specified in post_run_r_code. Default: FALSE.

post_run_r_code

Character: The file path to the R script that contains post-processing code. This script will be executed after the pyDarwin optimization process finishes. It can perform additional analysis or manipulations on the generated results.

r_timeout

Numeric: The time limit (in seconds) for the execution of the post-processing R script. If the R script takes longer to execute than this timeout value, it will be terminated. Default: 30

use_python

Logical: Whether to use Python for postprocessing. If set to TRUE, Python will be used to execute the post-processing script specified in post_run_python_code. Default: FALSE

post_run_python_code

Character: The file path to the Python script that contains post-processing code. This script will be executed after the pyDarwin optimization process finishes. It can perform additional analysis or manipulations on the generated results. Default: {project_dir}/simplefunc.py

Value

A list of postprocessing options in pyDarwin optimization process.

Examples

# Create postprocess options with default values
postprocess_options <- pyDarwinOptionsPostprocess()
# Create postprocess options with custom values
postprocess_options_custom <-
  pyDarwinOptionsPostprocess(use_r = TRUE,
                             post_run_r_code = "{project_dir}/postprocess.R",
                             r_timeout = 60,
                             use_python = TRUE,
                             post_run_python_code = "{project_dir}/postprocess.py")