Describe your feature request

It is already possible to give actors a name: https://docs.ray.io/en/master/actors.html#named-actors and to retrieve the actor handle via ray.get_actor("some_name").
It would however be very handy to have some kind of ray.list_named_actors() API method to get a list/dict of all currently available named actors.
It can be useful for:

• Better debugging

Adding types on the public API surface would allow us to do some runtime type checking later on and would allow user's IDE to have more info for static analysis.

The functions/signatures to type are the ones listed here https://github.com/keras-team/autokeras/blob/master/autokeras/__init__.py

For the context, see #856 where I add some type information on a ImageClassifier.

This issue can

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

For example, if there is a relationship transaction.session_id -> sessions.id and we are calculating a feature transactions: sessions.SUM(transactions.value) any rows for which there is no corresponding session should be given the default value of 0 instead of NaN.

Of course this should not normally occur, but when it does it seems more reasonable to use the default_value.

`DirectF

with the Power Transformer.

We would like to forward a particular 'key' column which is part of the features to appear alongside the predictions - this is to be able to identify to which set of features a particular prediction belongs to. Here is an example of predictions output using the tensorflow.contrib.estimator.multi_class_head:

{"classes": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"],
 "scores": [0.068196

We want to suggest people to run mindsdb on a venv,
and we require python 3.8

Can you update the README.md so it reflects

1. create and activate venv:

  python3.9 -m venv venv
  source venv/bin/activate

2. install MindsDB:

  pip3 install mindsdb

3. Run MindsDB

    python3.8 -m mindsdb

How do i resume training for text classification?

Problem
Since Java 8 was introduced there is no need to use Joda as it has been replaced the native Date-Time API.

Solution
Ideally greping and replacing the text should work (mostly)

Additional context
Need to check if de/serializing will still work.

https://www.usenix.org/conference/opml19/program

Prepare to read papers