When I have a cluster already running, I sometimes want to re-run the setup commands even if there's no changes, without having to shut down the cluster. For example if I am installing a package via a Github repo, I want to trigger the install again after pushing new changes.

However, calling ray up doesn

What would you like to be added: As title

Why is this needed: All pruning schedule except AGPPruner only support level, L1, L2. While there are FPGM, APoZ, MeanActivation and Taylor, it would be much better if we can choose any pruner with any pruning schedule.

**Without this feature, how does current nni

with the Power Transformer.

See optuna/optuna#1913.

Some type hints are not complying to the latest mypy == 0.790 and should be addressed.

How do i resume training for text classification?

Please extract the rules as a text from Decision Tree. Maybe it will be easier to interpret?

If enter_data() is called with the same train_path twice in a row and the data itself hasn't changed, a new Dataset does not need to be created.

We should add a column which stores some kind of hash of the actual data. When a Dataset would be created, if the metadata and data hash are exactly the same as an existing Dataset, nothing should be added to the ModelHub database and the existing

Is your feature request related to a problem? Please describe.
https://stackoverflow.com/questions/64477316/how-to-implement-a-repository-for-lazy-data-loading-with-neuraxle/64850395#64850395

Describe the solution you'd like
I provided an answer on the StackOverflow question above.

Additional context
We should edit the page [here](https://www.neuraxle.org/stable/intro.html#r