class_docstr: K-means
  
  Performs k-means clustering on an H2O dataset.
class_docstr_tok: ["K-means","Performs","k-means","clustering","on","an","H2O","dataset","."]
docstr: Names of columns to ignore for training.
  
  Type: ``List[str]``.
docstr_tok: ["Names","of","columns","to","ignore","for","training",".","Type",":","``","List","[","str","]","``","."]
code: def ignored_columns(self):
      """
      Names of columns to ignore for training.
  
      Type: ``List[str]``.
      """
      return self._parms.get("ignored_columns")
  
imports: 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 18 for calling the H2OKMeansEstimator obj's underlying member method code with example usage: obj.ignored_columns() and returns: self