Thomas Boquet

Custom celery autoscaler

1

We should implement a custom celery autoscaler based on RAM or memory available on the GPU. References: http://docs.celeryproject.org/en/latest/userguide/workers.html#autoscaling http://docs.celeryproject.org/en/latest/userguide/configuration.html#std:setting-worker_autoscaler http://docs.celeryproject.org/en/latest/internals/reference/celery.worker.autoscale.html http://docs.celeryproject.org/en/latest/_modules/celery/worker/autoscale.html#Autoscaler

It should be possible to launch instances and worker remotely in AWS using [boto3](https://boto3.readthedocs.io/en/latest/index.htm).

Support for sequential fit without reset Keras + Sklearn (warm_start)

1

We should allow the user to reuse the same parameters and optimizers' states for sequential fits. ```python expe.fit(...) .... expe.fit(...) ```

Use a progressbar when downloading a container

1

Currently running `docker run` does not inform the user that a container will be downloaded. We should inform the user that this container is being pulled from docker hub.