class_docstr: PSVM
class_docstr_tok: ["PSVM"]
docstr: Convergence threshold for primal-dual residuals in the IPM iteration
  
  Type: ``float``, defaults to ``0.001``.
  
  :examples:
  
  >>> splice = h2o.import_file("http://h2o-public-test-data.s3.amazonaws.com/smalldata/splice/splice.svm")
  >>> svm = H2OSupportVectorMachineEstimator(disable_training_metrics=False,
  ...                                        fact_threshold=1e-7)
  >>> svm.train(y="C1", training_frame=splice)
  >>> svm.mse()
docstr_tok: ["Convergence","threshold","for","primal-dual","residuals","in","the","IPM","iteration","Type",":","``","float","``",",","defaults","to","``","0.001","``",".",":","examples",":",">",">",">","splice","=","h2o.import_file","(","``","http",":","\/\/h2o-public-test-data.s3.amazonaws.com\/smalldata\/splice\/splice.svm","''",")",">",">",">","svm","=","H2OSupportVectorMachineEstimator","(","disable_training_metrics=False",",","...","fact_threshold=1e-7",")",">",">",">","svm.train","(","y=","''","C1","''",",","training_frame=splice",")",">",">",">","svm.mse","(",")"]
code: def feasible_threshold(self):
      """
      Convergence threshold for primal-dual residuals in the IPM iteration
  
      Type: ``float``, defaults to ``0.001``.
  
      :examples:
  
      >>> splice = h2o.import_file("http://h2o-public-test-data.s3.amazonaws.com/smalldata/splice/splice.svm")
      >>> svm = H2OSupportVectorMachineEstimator(disable_training_metrics=False,
      ...                                        fact_threshold=1e-7)
      >>> svm.train(y="C1", training_frame=splice)
      >>> svm.mse()
      """
      return self._parms.get("feasible_threshold")
  
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 H2OSupportVectorMachineEstimator obj's underlying member method code with example usage: obj.feasible_threshold() and returns: self