class_docstr: TargetEncoder
docstr: If true, the original non-encoded categorical features will remain in the result frame.
  
  Type: ``bool``, defaults to ``True``.
docstr_tok: ["If","true",",","the","original","non-encoded","categorical","features","will","remain","in","the","result","frame",".","Type",":","``","bool","``",",","defaults","to","``","True","``","."]
code: def keep_original_categorical_columns(self):
      """
      If true, the original non-encoded categorical features will remain in the result frame.
  
      Type: ``bool``, defaults to ``True``.
      """
      return self._parms.get("keep_original_categorical_columns")
  
imports: from h2o.utils.metaclass import deprecated_params, deprecated_property
  import h2o
  import warnings
  from h2o.exceptions import H2ODeprecationWarning
  from h2o.utils.typechecks import U
  from h2o.estimators.estimator_base import H2OEstimator
  from h2o.exceptions import H2OValueError
  from h2o.frame import H2OFrame
  from h2o.utils.typechecks import assert_is_type, Enum, numeric
label_desc: Use image node_id 12 for calling the H2OTargetEncoderEstimator obj's underlying member method code with example usage: obj.keep_original_categorical_columns() and returns: self