class_docstr: Singular Value Decomposition
docstr: Automatically export generated models to this directory.
  
  Type: ``str``.
  
  :examples:
  
  >>> import tempfile
  >>> from os import listdir
  >>> arrests = h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/pca_test/USArrests.csv")
  >>> checkpoints_dir = tempfile.mkdtemp()
  >>> fit_h2o = H2OSingularValueDecompositionEstimator(export_checkpoints_dir=checkpoints_dir,
  ...                                                  seed=-5)
  >>> fit_h2o.train(x=list(range(4)), training_frame=arrests)
  >>> len(listdir(checkpoints_dir))
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code: def export_checkpoints_dir(self):
      """
      Automatically export generated models to this directory.
  
      Type: ``str``.
  
      :examples:
  
      >>> import tempfile
      >>> from os import listdir
      >>> arrests = h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/pca_test/USArrests.csv")
      >>> checkpoints_dir = tempfile.mkdtemp()
      >>> fit_h2o = H2OSingularValueDecompositionEstimator(export_checkpoints_dir=checkpoints_dir,
      ...                                                  seed=-5)
      >>> fit_h2o.train(x=list(range(4)), training_frame=arrests)
      >>> len(listdir(checkpoints_dir))
      """
      return self._parms.get("export_checkpoints_dir")
  
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 30 for calling the H2OSingularValueDecompositionEstimator obj's underlying member method code with example usage: obj.export_checkpoints_dir() and returns: self