SG++-Doxygen-Documentation
python.utils.sg_projections Namespace Reference

Variables

 action
 
 args
 
 cin
 
 couterr
 
 default
 
 dest
 
 dim = gridStorage.getDimension()
 
string dotwidth = " lw %d"
 
tuple dx = (1.0-xoffset)/dim
 
tuple dy = (1.0-yoffset)/dim
 
 grid = tools.readGrid(options.grid)
 
dictionary gridpoints = {}
 
 gridStorage = grid.getStorage()
 
 help
 
 options
 
 p = DataVector(dim)
 
 parser = optparse.OptionParser()
 
string s
 
 type
 
float xoffset = 0.05
 
float yoffset = 0.05
 

Variable Documentation

python.utils.sg_projections.action
python.utils.sg_projections.args
python.utils.sg_projections.cin
python.utils.sg_projections.couterr
python.utils.sg_projections.default
python.utils.sg_projections.dest
python.utils.sg_projections.dim = gridStorage.getDimension()
string python.utils.sg_projections.dotwidth = " lw %d"
tuple python.utils.sg_projections.dx = (1.0-xoffset)/dim
tuple python.utils.sg_projections.dy = (1.0-yoffset)/dim
python.utils.sg_projections.grid = tools.readGrid(options.grid)
dictionary python.utils.sg_projections.gridpoints = {}
python.utils.sg_projections.gridStorage = grid.getStorage()

Referenced by sgpp::datadriven::AlgorithmAdaBoostBase.AlgorithmAdaBoostBase(), sgpp::datadriven::OperationMakePositiveSetToZero.computeHierarchicalCoefficients(), sgpp::datadriven::OperationMakePositiveInterpolateExp.computeHierarchicalCoefficients(), sgpp::datadriven::OperationMakePositiveInterpolateBoundaryOfSupport.computeHierarchicalCoefficients(), sgpp::datadriven::OperationMakePositiveInterpolateFunction.computeHierarchicalCoefficients(), sgpp::combigrid.convertLevelStructureToGridPoints(), sgpp::optimization::IterativeGridGenerator.evalFunction(), sgpp::datadriven::OperationMakePositiveFindIntersectionCandidates.findIntersections(), sgpp::datadriven::OperationMakePositiveFindIntersectionCandidatesJoin.findIntersections(), sgpp::datadriven::OperationMakePositiveHybridFindIntersectionCandidates.findIntersections(), sgpp::optimization::IterativeGridGeneratorSOO.generate(), sgpp::optimization::IterativeGridGeneratorLinearSurplus.generate(), sgpp::optimization::IterativeGridGeneratorRitterNovak.generate(), sgpp::optimization::file_io.getTypeString(), sgpp::datadriven::RefinementHandler.handleSurplusBasedRefinement(), hpx_main(), sgpp::datadriven::OperationMakePositive.initialize(), sgpp::datadriven::OperationMakePositiveFindIntersectionCandidates.initializeCandidates(), sgpp::datadriven::OperationMakePositiveFindIntersectionCandidatesJoin.initializeCandidates(), main(), sgpp::datadriven::OperationMakePositive.makeCurrentNodalValuesPositive(), sgpp::combigrid::BsplineStochasticCollocation.mean(), sgpp::datadriven::clusteringmpi::MPIWorkerGridBase.MPIWorkerGridBase(), sgpp::datadriven::DensityOCLMultiPlatform::OperationDensityOCLMultiPlatform< T >.OperationDensityOCLMultiPlatform(), sgpp::datadriven::DensityOCLMultiPlatform::OperationPruneGraphOCLMultiPlatform< T >.OperationPruneGraphOCLMultiPlatform(), sgpp::optimization::Printer.printIterativeGridGenerator(), sgpp::datadriven::LearnerSGD.train(), sgpp::datadriven::LearnerSVM.train(), sgpp::datadriven::LearnerSGDE.train(), sgpp::datadriven::SparseGridDensityEstimator.train(), sgpp::datadriven::LearnerSGDE.trainOnline(), and sgpp::optimization::IterativeGridGenerator.undoRefinement().

python.utils.sg_projections.help
python.utils.sg_projections.options
python.utils.sg_projections.p = DataVector(dim)
python.utils.sg_projections.parser = optparse.OptionParser()
string python.utils.sg_projections.s
Initial value:
1 = """
2  # reading grid from %s
3  set pm3d map
4  set nokey
5  unset colorbox
6  set size square 1,1
7  #set size square %f,%f
8  #set rmargin 0
9  #set lmargin 0
10  #set tmargin 0
11  #set bmargin 0
12  #set multiplot layout %d,%d
13  #set size square 2,2
14  set multiplot
15  #
16  """
python.utils.sg_projections.type
int python.utils.sg_projections.xoffset = 0.05
int python.utils.sg_projections.yoffset = 0.05