class_docstr: PSVM
class_docstr_tok: ["PSVM"]
docstr: Id of the validation data frame.
  
  Type: ``Union[None, str, H2OFrame]``.
  
  :examples:
  
  >>> splice = h2o.import_file("http://h2o-public-test-data.s3.amazonaws.com/smalldata/splice/splice.svm")
  >>> train, valid = splice.split_frame(ratios=[0.8])
  >>> svm = H2OSupportVectorMachineEstimator(disable_training_metrics=False)
  >>> svm.train(y="C1", training_frame=train, validation_frame=valid)
  >>> svm.mse()
docstr_tok: ["Id","of","the","validation","data","frame",".","Type",":","``","Union","[","None",",","str",",","H2OFrame","]","``",".",":","examples",":",">",">",">","splice","=","h2o.import_file","(","``","http",":","\/\/h2o-public-test-data.s3.amazonaws.com\/smalldata\/splice\/splice.svm","''",")",">",">",">","train",",","valid","=","splice.split_frame","(","ratios=","[","0.8","]",")",">",">",">","svm","=","H2OSupportVectorMachineEstimator","(","disable_training_metrics=False",")",">",">",">","svm.train","(","y=","''","C1","''",",","training_frame=train",",","validation_frame=valid",")",">",">",">","svm.mse","(",")"]
code: def validation_frame(self):
      """
      Id of the validation data frame.
  
      Type: ``Union[None, str, H2OFrame]``.
  
      :examples:
  
      >>> splice = h2o.import_file("http://h2o-public-test-data.s3.amazonaws.com/smalldata/splice/splice.svm")
      >>> train, valid = splice.split_frame(ratios=[0.8])
      >>> svm = H2OSupportVectorMachineEstimator(disable_training_metrics=False)
      >>> svm.train(y="C1", training_frame=train, validation_frame=valid)
      >>> svm.mse()
      """
      return self._parms.get("validation_frame")
  
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 4 for calling the H2OSupportVectorMachineEstimator obj's underlying member method code with example usage: obj.validation_frame() and returns: self