def initialize_training_set(self, ntrain, enable_import=True, sampling=None, **kwargs):
return ReductionMethod.initialize_training_set(self, self.truth_problem.mu_range, ntrain, enable_import, sampling, **kwargs)
def initialize_testing_set(self, ntest, enable_import=False, sampling=None, **kwargs):
return ReductionMethod.initialize_testing_set(self, self.SCM_approximation.mu_range, ntest, enable_import, sampling, **kwargs)
def __init__(self, truth_problem, **kwargs):
# Call parent
ReductionMethod.__init__(self, os.path.join("test_eim_approximation_16_tempdir", expression_type, basis_generation, "mock_problem"))
# Minimal subset of a DifferentialProblemReductionMethod
self.truth_problem = truth_problem
self.reduced_problem = None
def initialize_training_set(self, ntrain, enable_import=True, sampling=None, **kwargs):
assert enable_import
import_successful = ReductionMethod.initialize_training_set(self, self.SCM_approximation.mu_range, ntrain, enable_import, sampling, **kwargs)
self.SCM_approximation.training_set = self.training_set
return import_successful