python.utils.sg_projections Namespace Reference

Variables
	action
	args
	cin
	couterr
	default
	dest
	dim = gridStorage.getDimension()
string	dotwidth = " lw %d" % (options.dotwidth)
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

action

python.utils.sg_projections.action

args

python.utils.sg_projections.args

cin

python.utils.sg_projections.cin

couterr

python.utils.sg_projections.couterr

default

python.utils.sg_projections.default

dest

python.utils.sg_projections.dest

dim

python.utils.sg_projections.dim = gridStorage.getDimension()

dotwidth

string python.utils.sg_projections.dotwidth = " lw %d" % (options.dotwidth)

dx

tuple python.utils.sg_projections.dx = (1.0-xoffset) / dim

dy

tuple python.utils.sg_projections.dy = (1.0-yoffset) / dim

grid

python.utils.sg_projections.grid = tools.readGrid(options.grid)

gridpoints

dictionary python.utils.sg_projections.gridpoints = {}

Referenced by sgpp::datadriven.createDensityOCLMultiPlatformConfigured(), and sgpp::datadriven.pruneNearestNeighborGraphConfigured().

gridStorage

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().

help

python.utils.sg_projections.help

options

python.utils.sg_projections.options

p

python.utils.sg_projections.p = DataVector(dim)

parser

python.utils.sg_projections.parser = optparse.OptionParser()

s

string python.utils.sg_projections.s

Initial value:

=  """
    # reading grid from %s
    set pm3d map
    set nokey
    unset colorbox
    set size square 1,1
    #set size square %f,%f
    #set rmargin 0 
    #set lmargin 0
    #set tmargin 0 
    #set bmargin 0
    #set multiplot layout %d,%d
    #set size square 2,2
    set multiplot
    #
    """ % (options.grid, (1.0 / dim), (1.0 / dim), dim, dim)

type

python.utils.sg_projections.type

xoffset

int python.utils.sg_projections.xoffset = 0.05

yoffset

int python.utils.sg_projections.yoffset = 0.05