add support for multi-output prediction

[yc2984]

Currently, xgboost_ray doesn't support multi-output, neither the two options work.

1. providing a list of labels: RayDMatrix(path, label=label_cols, filetype=RayFileType.PARQUET)
2. providing a concrete data frame with multiple columns.
   RayDMatrix(data=df[feature_columns], label=df[target_columns])

However the second option is supported by the original xgboost package.
Here is an issue tracking for future development for multi-output: dmlc/xgboost#9043. A few distributed options are mentioned, but not ray, is there a plan to develop this feature soon for xgboost_ray as well?
cc @Yard1

I also asked this in ray discussion forum: https://discuss.ray.io/t/does-xgboost-ray-supports-multi-output-many-y-labels/11383

[Yard1]

cc @krfricke