create_dataset Namespace Reference

Variables
	action
	args
float	b = 1.0
string	dat = ""
	default
	dest
	help
float	intervalsize = 1.0/options.fields
	irang = int(rang+1.0)
	options
	parser = optparse.OptionParser()
string	point = ""
	r = random.random()
float	rang = r/intervalsize
	type

Variable Documentation

action

create_dataset.action

args

create_dataset.args

b

float create_dataset.b = 1.0

dat

string create_dataset.dat = ""

default

create_dataset.default

Referenced by sgpp::datadriven::ModelFittingClassification.fit().

dest

create_dataset.dest

Referenced by sgpp::datadriven::clusteringmpi::OperationPrunedGraphCreationMPI.create_graph(), sgpp::datadriven::clusteringmpi::OperationGraphCreationMPI.create_graph(), sgpp::datadriven::clusteringmpi::DensityWorker.DensityWorker(), sgpp::datadriven::clusteringmpi::OperationDensityRhsMPI.generate_b(), sgpp::datadriven::clusteringmpi::MPIWorkerPackageBase< int >.MPIWorkerPackageBase(), sgpp::datadriven::clusteringmpi::OperationDensityMultMPI.mult(), sgpp::datadriven::clusteringmpi::PrunedGraphCreationWorker.PrunedGraphCreationWorker(), sgpp::datadriven::clusteringmpi::DensityWorker.send_alpha(), sgpp::datadriven::clusteringmpi::SimpleQueue< T >.SimpleQueue(), sgpp::datadriven::clusteringmpi::GraphCreationWorker.start_worker_main(), and sgpp::datadriven::clusteringmpi::MPIWorkerPackageBase< int >.start_worker_main().

help

create_dataset.help

intervalsize

float create_dataset.intervalsize = 1.0/options.fields

irang

create_dataset.irang = int(rang+1.0)

options

create_dataset.options

Referenced by main().

parser

create_dataset.parser = optparse.OptionParser()

Referenced by sgpp::datadriven::DensityEstimationMinerFactory.buildHPO(), sgpp::datadriven::MinerFactory.buildHPO(), and sgpp::datadriven::MinerFactory.buildMiner().

point

string create_dataset.point = ""

r

create_dataset.r = random.random()

rang

float create_dataset.rang = r/intervalsize

type

create_dataset.type

Referenced by sgpp::datadriven::DBMatOfflineFactory.buildFromFile(), sgpp::datadriven::DBMatOfflineFactory.buildOfflineObject(), python.controller.TerminalController.TerminalController.constructObjectsFromFile(), sgpp::datadriven::DataSourceBuilder.crossValidationFromConfig(), python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.deserializeFromFile(), python.uq.uq_setting.UQSetting.UQSetting.findEquivalent(), sgpp::datadriven::OperationMultipleEvalConfiguration.getType(), python.convergence.inputwrapper(), python.uq.operations.general.isList(), python.uq.operations.general.isMatrix(), python.uq.operations.general.isNumerical(), python.controller.TerminalController.TerminalController.itemsToDict(), main(), python.convergence.norm(), sgpp::datadriven::OperationMultipleEvalConfiguration.OperationMultipleEvalConfiguration(), json::ListNode.parse(), json::DictNode.parse(), json::TextNode.parse(), json::IDNode.parse(), json::DictNode.parseAttributes(), python.utils.json.JsonReader.read(), sgpp::optimization::file_io.readMatrix(), python.uq.jsonLib.reprVal(), python.uq.sampler.asgc.ASGCSamplerStopPolicy.ASGCSamplerStopPolicy.toString(), python.learner.solver.CGSolver.CGSolver.toString(), python.learner.TrainingStopPolicy.TrainingStopPolicy.toString(), python.learner.TrainingSpecification.TrainingSpecification.toString(), python.uq.learner.Learner.Learner.toString(), python.learner.Learner.Learner.toString(), python.utils.json.JsonWriter.write(), sgpp::optimization::file_io.writeMatrix(), and sgpp::base::Stretching.~Stretching().