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Description
Please provide a clear and concise description of the problem. This should contain all the steps nee

Add PECOS model to TabularPredictor.

If you'd like to work on this, please respond to this GitHub issue.

It is recommended to follow the custom model tutorial for implementing the model into AutoGluon.

ray.init(n_cpus=16)
should be
ray.init(num_cpus=16) in the documentation page
https://microsoft.github.io/FLAML/docs/Use-Cases/Task-Oriented-AutoML#parallel-tuning

Feature request

As requested by some, and as @ekamioka started on this PR #244. It might be interesting to get some helper functions to use embeddings as it's not the simplest concept in deep learning.

What is the expected behavior?
Calling a few helper function to get all the correct parameters before using TabNet

Is there a way to stabilise the results of the algorithm spot the diff drift detection?
In each run with same configuration and data the results of diff and p values are different.

Describe the bug
Not necessarily a bug. The dependency of pandas == 1.1.5 is a really obsolete version, (and also many other packages)
For pandas I read through the source and didn't find a version specific usage. Considering change it to pandas >=1.1.5?

🚀 Feature request

The original PyTorch implementation of TabularDropout transformation is available at transformers4rec/torch/tabular/transformations.py