def loadDict(self, sd):
self.model = Model()
try:
self.model.loadDict(sd['model'])
except:
pass
self.setID(sd.get('ID', ''))
self.setNumSamples(sd.get('numSamples', 0))
self.origNumSamples = sd.get('origNumSamples', self.getNumSamples())
self.setNumSamplesAdded(sd.get('numSamplesAdded', 0))
self.setFromFile(sd.get('fromFile', False))
self.setSampleMethod(sd.get('sampleMethod', None))
self.setInputData(sd.get('inputData', None))
self.setOutputData(sd.get('outputData', None))
self.setRunState(sd.get('runState', None))
self.legendreOrder = sd.get('legendreOrder', None)
self.fromFile = sd.get('fromFile', False)
self.sampleRSType = ResponseSurfaces.getEnumValue(
sd.get('sampleRSType'))
self.turbineJobIds = sd.get("turbineJobIds", [])
self.turbineSession = sd.get("turbineSession", None)
self.turbineResub = sd.get("turbineResub", [])
inputDists = []
if 'inputDists' in sd:
for distDict in sd['inputDists']:
distr = Distribution(Distribution.UNIFORM)
distr.loadDict(distDict)
inputDists.append(distr)
self.setInputDistributions(inputDists)
self.analyses = []
if 'analyses' in sd:
for analDict in sd['analyses']:
type = UQAnalysis.getTypeEnumValue(analDict['type'])
if type == UQAnalysis.PARAM_SCREEN:
from ParameterScreening import ParameterScreening
anal = ParameterScreening(self, analDict['outputs'],
analDict['subType'])
elif type == UQAnalysis.UNCERTAINTY:
from UncertaintyAnalysis import UncertaintyAnalysis
anal = UncertaintyAnalysis(self, analDict['outputs'])
elif type == UQAnalysis.CORRELATION:
from CorrelationAnalysis import CorrelationAnalysis
anal = CorrelationAnalysis(self, analDict['outputs'])
elif type == UQAnalysis.SENSITIVITY:
from SensitivityAnalysis import SensitivityAnalysis
anal = SensitivityAnalysis(self, analDict['outputs'],
analDict['subType'])
elif type == UQAnalysis.VISUALIZATION:
from Visualization import Visualization
anal = Visualization(self, analDict['outputs'],
analDict['inputs'])
else: #RS Analyses
userRegressionFile = analDict[
'userRegressionFile'] if 'userRegressionFile' in analDict else None
if type == UQAnalysis.RS_VALIDATION:
from RSValidation import RSValidation
testFile = analDict[
'testFile'] if 'testFile' in analDict else None
anal = RSValidation(self, analDict['outputs'],
analDict['rs'],
analDict['rsOptions'],
analDict['genCodeFile'],
analDict['nCV'],
userRegressionFile, testFile)
elif type == UQAnalysis.RS_UNCERTAINTY:
from RSUncertaintyAnalysis import RSUncertaintyAnalysis
anal = RSUncertaintyAnalysis(self, analDict['outputs'],
analDict['subType'],
analDict['rs'],
analDict['rsOptions'],
userRegressionFile,
analDict['xprior'])
elif type == UQAnalysis.RS_SENSITIVITY:
from RSSensitivityAnalysis import RSSensitivityAnalysis
anal = RSSensitivityAnalysis(self, analDict['outputs'],
analDict['subType'],
analDict['rs'],
analDict['rsOptions'],
userRegressionFile,
analDict['xprior'])
elif type == UQAnalysis.INFERENCE:
from RSInference import RSInference
anal = RSInference(
self,
analDict['ytable'],
analDict['xtable'],
analDict['obsTable'],
analDict['genPostSample'],
analDict['addDisc'],
analDict['showList'],
userRegressionFile=userRegressionFile)
elif type == UQAnalysis.RS_VISUALIZATION:
from RSVisualization import RSVisualization
anal = RSVisualization(
self, analDict['outputs'], analDict['inputs'],
analDict['rs'], analDict['minVal'],
analDict['maxVal'], analDict['rsOptions'],
userRegressionFile)
anal.loadDict(analDict)
self.analyses.append(anal)
