Issue #3644 describes the reasons why this warning was created. However, I get this warning even with as little as 17 actors:

According to ulimit -n I can safely run many more procs.

Potential solutions:

• Allow to specify number of acceptable actors before warning

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

I'm using mxnet to do some work, but there is nothing when I search the mxnet trial and example.

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.

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

It will be nice to have Exploratory Data Analysis (EDA) similar that is in https://mljar.com

The EDA can be saved in a separate Markdown file and have link to it from the main AutoML readme.

Add ideas/suggestions here and we'll discuss/greenlight them. Thanks.