class_docstr: A Multi-Node Multi-GPU implementation of OneHotEncoder
  
  Refer to the Dask OneHotEncoder implementation
  in `cuml.dask.preprocessing.encoders`.
class_docstr_tok: ["A","Multi-Node","Multi-GPU","implementation","of","OneHotEncoder","Refer","to","the","Dask","OneHotEncoder","implementation","in","`","cuml.dask.preprocessing.encoders","`","."]
code: def _has_unknown(self, X_cat, encoder_cat):
      return not X_cat.isin(encoder_cat).all().compute()
  
file_path: cuml/python/cuml/preprocessing/onehotencoder_mg.py
imports: from cuml.dask.common.dask_arr_utils import to_dask_cudf
  from cuml.internals.safe_imports import gpu_only_import_from
  from cuml.preprocessing.encoders import OneHotEncoder
  import dask
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 4 for calling the OneHotEncoderMG obj's underlying member method code with example usage: obj._has_unknown(X_cat, encoder_cat) and returns: unknown