deephyper.evaluator.callback.CSVLoggerCallback

deephyper.evaluator.callback.CSVLoggerCallback#

class deephyper.evaluator.callback.CSVLoggerCallback(path: str = 'results.csv')[source]#

Dump jobs done to a CSV file.

Methods

`dump_jobs_done_to_csv`	Dump completed jobs to a CSV file.
`on_close`	Called when the evaluator is being closed.
`on_done`	Called each time a local `Job` has been gathered by the Evaluator.
`on_done_other`	Called after local `Job` have been gathered for each remote `Job` that is done.
`on_gather`	Called after gathering jobs.
`on_launch`	Called each time a `Job` is created by the `Evaluator`.

dump_jobs_done_to_csv(path: str, flush: bool = False)[source]#

Dump completed jobs to a CSV file.

This will reset the Evaluator.jobs_done attribute to an empty list.

Parameters:

path (str) – The path of the file where the CSV is being dumped.
flush (bool) – A boolean indicating if the results should be flushed (i.e., forcing the dumping).

on_done(job: Job)#

Called each time a local Job has been gathered by the Evaluator.

on_done_other(job: Job)#

Called after local Job have been gathered for each remote Job that is done.

on_gather(local_jobs: List[Job], other_jobs: List[Job])[source]#

Called after gathering jobs.

Parameters:

local_jobs (List[Job]) – gathered jobs from local evaluator instance.
other_jobs (List[Job]) – gathered jobs from other evaluators using the same storage.

on_launch(job: Job)#

Called each time a Job is created by the Evaluator.