class_docstr: PSVM
class_docstr_tok: ["PSVM"]
docstr: Seed for pseudo random number generator (if applicable)
  
  Type: ``int``, defaults to ``-1``.
  
  :examples:
  
  >>> splice = h2o.import_file("http://h2o-public-test-data.s3.amazonaws.com/smalldata/splice/splice.svm")
  >>> svm = H2OSupportVectorMachineEstimator(gamma=0.1,
  ...                                        rank_ratio=0.1,
  ...                                        seed=1234,
  ...                                        disable_training_metrics=False)
  >>> svm.train(y="C1", training_frame=splice)
  >>> svm.model_performance
docstr_tok: ["Seed","for","pseudo","random","number","generator","(","if","applicable",")","Type",":","``","int","``",",","defaults","to","``","-1","``",".",":","examples",":",">",">",">","splice","=","h2o.import_file","(","``","http",":","\/\/h2o-public-test-data.s3.amazonaws.com\/smalldata\/splice\/splice.svm","''",")",">",">",">","svm","=","H2OSupportVectorMachineEstimator","(","gamma=0.1",",","...","rank_ratio=0.1",",","...","seed=1234",",","...","disable_training_metrics=False",")",">",">",">","svm.train","(","y=","''","C1","''",",","training_frame=splice",")",">",">",">","svm.model_performance"]
code: def seed(self):
      """
      Seed for pseudo random number generator (if applicable)
  
      Type: ``int``, defaults to ``-1``.
  
      :examples:
  
      >>> splice = h2o.import_file("http://h2o-public-test-data.s3.amazonaws.com/smalldata/splice/splice.svm")
      >>> svm = H2OSupportVectorMachineEstimator(gamma=0.1,
      ...                                        rank_ratio=0.1,
      ...                                        seed=1234,
      ...                                        disable_training_metrics=False)
      >>> svm.train(y="C1", training_frame=splice)
      >>> svm.model_performance
      """
      return self._parms.get("seed")
  
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 38 for calling the H2OSupportVectorMachineEstimator obj's underlying member method code with example usage: obj.seed() and returns: self