hyperparameter-tuning
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At the moment, we print the hyperparameters sample by using a json dump of the dictionnary.
def _get_trial_split_description(
repo_trial: Trial,
repo_trial_split_number: int,
validation_splits: List[Tuple[DataContainer, DataContainer]],
trial_number: int,
n_trial: int
):
trial_split_description = '{}/{} split {}/
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We recently added some nightly jobs to our CI in #2250 !
The next step is set up a notification with the success or failure of the nightlies and a link to view the github pipeline.
I'm open to discussing what the medium for the notification should be but this looks interesting: https://github.com/marketplace/actions/slack-notify
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The problem I want to use auto-sklearn on is a time-series. Can we modify sklearn to include cv with time series?