New Operator

Describe the operator

Why is this operator necessary? What does it accomplish?

This is a frequently used operator in tensorflow/keras

Can this operator be constructed using existing onnx operators?

If so, why not add it as a function?

I don't know.

Is this operator used by any model currently? Which one?

Are you willing to contribute it?

The dask.visualize API docs mention that args need to be a "dask object", which isn't very clear to newcomers. It may be worth clarifying that we mean a Dask Collection here?

Ref: [The Stack Overflow question which surfaced this misunderstanding](https://stackoverflow.com/q

It seems there is no validation on fit_ensemble when ensemble size is 0, causing an issue to appear as seen in #1327

• transform_primitive.py is becoming very large. I suggest splitting out into separate files.
• We could split this file up by groups (such as LatLong transform primitives in 1 file).

In our current GitHub actions CI/CD, the windows tests are verbose, i.e., logs per test are printed out, which is very useful for diagnosing on remote.

This is not the case for mac and unix (only "dots" are printed and percentages) - it would be great if it were.

Not sure what would have to be changed, but perhaps a good first issue for someone with CI/CD and/or GitHub actions experience.

Yes

readthedocs analytics says that we have several search results that yield little or no useful results. Let's improvethose:

• gpu (only 2 results): make sure that explanation of device parameter mentions gpu as well
• gridsearch (0 results): make sure to include the term gridsearch in the meta data of

Related: awslabs/autogluon#1479

Add a scikit-learn compatible API wrapper of TabularPredictor:

• TabularClassifier
• TabularRegressor

Required functionality (may need more than listed):

• init API
• fit API
• predict API
• works in sklearn pipelines