batch_tune#

batch_tune(*model_files, log_output=True, overall_timelimit_sec=None, tuning_timelimit_sec=None, overall_timelimit_det=None, tuning_timelimit_det=None, display_level=None, measure=None, fixed_params_and_values=None)[source]#

Run tuning tests on a batch of models to search for performance-improving parameter settings.

This function is a wrapper around CPLEX’s tuning tool. Refer to the CPLEX user manual for more details about this functionality.

Parameters:

*model_filesstr

Path of file containing the model. Supported formats are .mps, .lp, and .sav (compressed files with extensions .gz and .bz2 are also supported).

log_outputbool or str or stream object, optional

Log output switch, in one of the following forms:

True or '1' or 'stdout' or 'sys.stdout': Log is output to stdout.
'stderr' or 'sys.stderr': Log is output to stderr.
False or '0' or None: No log output.
File path (in form of str): Log is output to the file.
Stream object (a file-like object with a write method and a flush method): Log is output to the stream object.

Default is True.

overall_timelimit_secint or float or str, optional

Time limit for the tuning tool, in terms of seconds. Corresponds to the CPLEX parameter timelimit.

tuning_timelimit_secint or float or str, optional

Time limit for each test of the tuning tool, in terms of seconds. Corresponds to the CPLEX parameter tune.timelimit.

overall_timelimit_detint or float or str, optional

Time limit for the tuning tool, in terms of deterministic ticks. Corresponds to the CPLEX parameter dettimelimit.

tuning_timelimit_detint or float or str, optional

Time limit for each test of the tuning tool, in terms of deterministic ticks. Corresponds to the CPLEX parameter tune.dettimelimit.

display_levelint, optional

Level of information reported by the tuning tool as it works. Corresponds to the CPLEX parameter tune.display.

measureint, optional

Measure for evaluating progress. Corresponds to the CPLEX parameter tune.measure.

fixed_params_and_valuesdict, optional

Set of parameters and their values that should be respected by the tuning tool, in form of a dict having parameter names (as str such as ‘lpmethod’, ‘mip.limits.cutpasses’, etc.) as keys and parameter values as values. Default is None.

Returns:

dict: Set of performance-improving parameters and their values identified by tuning tool, in form of a dict having parameter names (as str such as ‘lpmethod’, ‘mip.limits.cutpasses’, etc.) as keys and parameter values as values.

Raises:

FileNotFoundError: If model file is not found.
ValueError: If both overall_timelimit_sec and overall_timelimit_det are specified.
ValueError: If both tuning_timelimit_sec and tuning_timelimit_det are specified.
ValueError: If an invalid value is specified for any tuning parameter in function arguments: overall_timelimit_sec, tuning_timelimit_sec, overall_timelimit_det, tuning_timelimit_det, display_level, measure.
ValueError: If an invalid parameter or value is specified is fixed_params_and_values.