class_docstr: TargetEncoder
docstr: The amount of noise to add to the encoded column. Use 0 to disable noise, and -1 (=AUTO) to let the algorithm
  determine a reasonable amount of noise.
  
  Type: ``float``, defaults to ``0.01``.
docstr_tok: ["The","amount","of","noise","to","add","to","the","encoded","column",".","Use","0","to","disable","noise",",","and","-1","(","=AUTO",")","to","let","the","algorithm","determine","a","reasonable","amount","of","noise",".","Type",":","``","float","``",",","defaults","to","``","0.01","``","."]
code: def noise(self):
      """
      The amount of noise to add to the encoded column. Use 0 to disable noise, and -1 (=AUTO) to let the algorithm
      determine a reasonable amount of noise.
  
      Type: ``float``, defaults to ``0.01``.
      """
      return self._parms.get("noise")
  
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 22 for calling the H2OTargetEncoderEstimator obj's underlying member method code with example usage: obj.noise() and returns: self