cocoex.__init__ module documentation

Part of cocoex

Experimentation module of the COCO - COmparing Continuous Optimizers - framework.

The module provides benchmark test beds in the Suite class and output data facilities in the Observer class.

See the documentation of the Suite class:

>>> import cocoex as ex
>>> help(ex.Suite)  # doctest: +ELLIPSIS
Help on class Suite...
>>> print(ex.known_suite_names)  # doctest: +ELLIPSIS
[...

A more complete example use case can be found in the example_experiment.py file.

Function default_observers return a map from suite names to default observer names.
Class Suite Suite of benchmark problems.
Class Observer Observer which can be "attached to" one or several problems, however not necessarily at the same time.
Class Problem Problem instances are usually generated using class Suite.
Function log_level log_level(level=None) return current log level and set new log level if level is not None and level.
def default_observers(update=None):

return a map from suite names to default observer names.

This function can also be used to update this map using a dict or a list of key-value pairs.

def log_level(level=None):
log_level(level=None) return current log level and set new log level if level is not None and level.
Parameterslevelmust be 'error' or 'warning' or 'info' or 'debug', listed with increasing verbosity, or '' which doesn't change anything.
API Documentation for cocoex, generated by pydoctor at 2020-01-21 17:05:05.