deephyper.evaluator.callback.ProfilingCallback¶

class deephyper.evaluator.callback.ProfilingCallback[source]¶

Collect profiling data. Each time a Job is completed by the Evaluator a timestamp and current number of running jobs is collected.

An example usage can be:

>>> profiler = ProfilingCallback()
>>> evaluator.create(method="ray", method_kwargs={..., "callbacks": [profiler]})
...
>>> profiler.profile

Methods

`on_done`	Called each time a Job is completed by the Evaluator.
`on_launch`	Called each time a `Job` is created by the `Evaluator`.

Attributes

profile

on_done(job)[source]¶

Called each time a Job is completed by the Evaluator.

on_launch(job)[source]¶

Called each time a Job is created by the Evaluator.