cocopp.testbedsettings module documentation

Part of cocopp
No module docstring
Function reset_current_testbed Undocumented
Function load_current_testbed Undocumented
Function get_testbed_from_suite Undocumented
Function reset_reference_values Undocumented
Function update_reference_values Undocumented
Function copy_reference_values Undocumented
Function get_reference_values No summary
Function get_first_reference_values Undocumented
Function get_short_names Undocumented
Class Testbed this might become the future way to have settings related to testbeds TODO: how do we pass information from the benchmark to the post-processing?
Class GECCOBBOBTestbed Testbed used in the GECCO BBOB workshops 2009, 2010, 2012, 2013, 2015, and 2016.
Class BBOBLargeScaleJOINEDTestbed Union of GECCOBBOBTestbed and BBOBLargeScaleTestbed with all their dimensions.
Class CONSBBOBTestbed BBOB Testbed for constrained problems.
Class GECCOBBOBNoisyTestbed The noisy testbed used in the GECCO BBOB workshops 2009, 2010, 2012, 2013, 2015, and 2016.
Class GECCOBiObjBBOBTestbed Testbed used in the BBOB workshops to display data sets run on the bbob-biobj test suite.
Class GECCOBiObjExtBBOBTestbed Biobjective testbed to display data sets run on the bbob-biobj-ext test suite.
Class BBOBLargeScaleTestbed Settings related to bbob-largescale test suite.
Class GECCOBBOBMixintTestbed Testbed used with the bbob-mixint test suite.
Class GECCOBBOBBiObjMixintTestbed Testbed used with the bbob-biobj-mixint test suite.
def reset_current_testbed():
Undocumented
def load_current_testbed(testbed_name, target_values):
Undocumented
def get_testbed_from_suite(suite_name):
Undocumented
def reset_reference_values():
Undocumented
def update_reference_values(algorithm, reference_value):
Undocumented
def copy_reference_values(old_algorithm_id, new_algorithm_id):
Undocumented
def get_reference_values(algorithm):
Returns the hash value of the hypervolume reference values for the specified algorithm (if available, i.e. if the algorithm has been run on the bbob-biobj testbed). If algorithm=None, all hash values are returned as a set (i.e. with no duplicates) if more than one hash is available or as a string if all hashes are the same.
def get_first_reference_values():
Undocumented
def get_short_names(file_name):
Undocumented
API Documentation for cocopp, generated by pydoctor at 2020-01-21 16:27:37.