xgboost

Currently many more Python projects like dask and optuna are using Python type hints. With the Python package of xgboost gaining more and more features, we should also adopt mypy as a safe guard against some type errors and for better code documentation.

Describe the bug

df.sort_values() failed when input dataframe is empty.

To Reproduce
To help us reproducing this bug, please provide information below:

1. Your Python version
2. The version of Mars you use
3. Versions of crucia

Our xgboost models use the binary:logistic' objective function, however the m2cgen converted version of the models return raw scores instead of the transformed scores.

This is fine as long as the user knows this is happening! I didn't, so it took a while to figure out what was going on. I'm wondering if perhaps a useful warning could be raised for users to alert them of this issue? A warning

This issue has been coming up when I use,
automl.predict_proba(input)

I am using the requirements.txt in venv. Shouldn't input have feature names?
This message did not used to come up and I don't know why.

/kind feature

Describe the solution you'd like
[A clear and concise description of what you want to happen.]
Add a sample of MMS using a custom model server similar to sklearn and triton that will reside [in

See https://github.com/tensorflow/transform/blob/master/tensorflow_transform/mappers.py#L374