Class RootParameterGroup

Overrides: ParameterGroup.reset

Overrides: object.__repr__

Tunes parameters for a set of problems.

filenames must be a sequence of strings specifying a set of problems to tune.

If filetypes is given, it must be a sequence of the same length as filenames also consisting of strings that specify the types of the corresponding files.

If fixed_parameters_and_values is given, it may be either a ParameterSet instance or a sequence of sequences of length 2 containing instances of the Parameter class that are to be fixed during the tuning process and the values at which they are to be fixed.

tune_problem_set returns the status of the tuning procedure, which is an attribute of parameters.tuning_status.

>>> import cplex
>>> c = cplex.Cplex()
>>> out = c.set_results_stream(None)
>>> out = c.set_log_stream(None)
>>> ps = c.create_parameter_set()
>>> ps.add(c.parameters.lpmethod,
...        c.parameters.lpmethod.values.auto)
>>> status = c.parameters.tune_problem_set(
...     filenames=["lpex.mps", "example.mps"],
...     fixed_parameters_and_values=ps)
>>> c.parameters.tuning_status[status]
'completed'
>>> status = c.parameters.tune_problem_set(
...     filenames=["lpex.mps", "example.mps"],
...     fixed_parameters_and_values=[
...         (c.parameters.lpmethod,
...          c.parameters.lpmethod.values.auto)])
>>> c.parameters.tuning_status[status]
'completed'
>>> status = c.parameters.tune_problem_set(
...     filenames=["lpex.mps", "example.mps"])
>>> c.parameters.tuning_status[status]
'completed'

Tunes parameters for a Cplex problem.

If fixed_parameters_and_values is given, it may be either a ParameterSet instance or a sequence of sequences of length 2 containing instances of the Parameter class that are to be fixed during the tuning process and the values at which they are to be fixed.

tune_problem returns the status of the tuning procedure, which is an attribute of parameters.tuning_status.

>>> import cplex
>>> c = cplex.Cplex()
>>> out = c.set_results_stream(None)
>>> ps = c.create_parameter_set()
>>> ps.add(c.parameters.lpmethod,
...        c.parameters.lpmethod.values.auto)
>>> status = c.parameters.tune_problem(ps)
>>> c.parameters.tuning_status[status]
'completed'
>>> status = c.parameters.tune_problem([
...     (c.parameters.lpmethod,
...      c.parameters.lpmethod.values.auto)])
>>> c.parameters.tuning_status[status]
'completed'
>>> status = c.parameters.tune_problem()
>>> c.parameters.tuning_status[status]
'completed'