Currently, xgboost_ray doesn't support multi-output, neither the two options work.
providing a list of labels: RayDMatrix(path, label=label_cols, filetype=RayFileType.PARQUET)
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: https://github.com/dmlc/xgboost/issues/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
Yard1
commented
11 months ago
Currently, xgboost_ray doesn't support multi-output, neither the two options work.
RayDMatrix(path, label=label_cols, filetype=RayFileType.PARQUET)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: https://github.com/dmlc/xgboost/issues/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