SG++-Doxygen-Documentation
python.uq.sampler.asgc.ASGCSamplerBuilder.ASGCSamplerStopPolicyDescriptor Class Reference
Inheritance diagram for python.uq.sampler.asgc.ASGCSamplerBuilder.ASGCSamplerStopPolicyDescriptor:

Public Member Functions

def __init__ (self)
 
def create (self)
 
def withAccuracyLimit (self, limit)
 
def withAdaptiveIterationLimit (self, limit)
 
def withGridSizeLimit (self, limit)
 

Public Attributes

 policy
 

Detailed Description

TrainingStopPolicy Descriptor helps to implement fluid interface patter on
python it encapsulates functionality concerning creation of the training
stop policy

Constructor & Destructor Documentation

def python.uq.sampler.asgc.ASGCSamplerBuilder.ASGCSamplerStopPolicyDescriptor.__init__ (   self)
Constructor

Member Function Documentation

def python.uq.sampler.asgc.ASGCSamplerBuilder.ASGCSamplerStopPolicyDescriptor.create (   self)

References sgpp::combigrid::TreeStorageGuidedIterator< T >.policy, and python.uq.sampler.asgc.ASGCSamplerBuilder.ASGCSamplerStopPolicyDescriptor.policy.

def python.uq.sampler.asgc.ASGCSamplerBuilder.ASGCSamplerStopPolicyDescriptor.withAccuracyLimit (   self,
  limit 
)
Defines the accuracy for test data, which have to be arrived
@param limit: float for accuracy
def python.uq.sampler.asgc.ASGCSamplerBuilder.ASGCSamplerStopPolicyDescriptor.withAdaptiveIterationLimit (   self,
  limit 
)
Defines the maximal number of refinement steps
@param limit: integer for maximal number of refinement steps
def python.uq.sampler.asgc.ASGCSamplerBuilder.ASGCSamplerStopPolicyDescriptor.withGridSizeLimit (   self,
  limit 
)
Defines the maximal number of points on grid
@param limit: integer for maximal number of points on grid

Member Data Documentation

python.uq.sampler.asgc.ASGCSamplerBuilder.ASGCSamplerStopPolicyDescriptor.policy

The documentation for this class was generated from the following file: