deephyper.evaluator.callback

deephyper.evaluator.callback#

The callback module contains sub-classes of the Callback class.

The Callback class is used to trigger custom actions on the start and completion of jobs by the Evaluator. Callbacks can be used with any Evaluator implementation.

Functions

`hypervolume`	Compute the absolute hypervolume of a pointset according to the reference point ref.
`test_ipython_interpretor`	Test if the current Python interpretor is IPython or not.

Classes

`CSVLoggerCallback`	Dump jobs done to a CSV file.
`Callback`	Callback interface.
`HPOJob`	Represents the execution of a `run_function` for HPO by the Evaluator.
`Job`	Represents the execution of a generic `run_function` by the `Evaluator`.
`LoggerCallback`	Print information when jobs are completed by the `Evaluator`.
`ObjectiveRecorder`	Records the objective values of the jobs.
`SearchEarlyStopping`	Stop the search gracefully when it does not improve for a given number of evaluations.
`TqdmCallback`	Print information when jobs are completed by the `Evaluator`.
`tqdm`	Decorate an iterable object, returning an iterator which acts exactly like the original iterable, but prints a dynamically updating progressbar every time a value is requested.