def runCurrentExperiment(self, expType="Standard", isLoad=False):
"""
Creates an experiment runner for the current model and starts running the
model in a seperate thread
"""
if self.experimentRunner:
self.stopCurrentExperiment()
self.datasets[self.currentDataset].rewind()
if isLoad:
modelInfo = json.loads(ExperimentDB.get(self.name)['metadata'])
modelDescriptionText = modelInfo['modelDescriptionText']
subDescriptionText = modelInfo['subDescriptionText']
self.loadDescriptionFile(modelDescriptionText, subDescriptionText)
else:
data = dict(
modelDescriptionText=self.descriptionText,
subDescriptionText=self.subDescriptionText
)
ExperimentDB.add(self.name, data)
self.__currentModelData = []
if expType == "Standard":
self.experimentRunner = ExperimentRunner(
name = self.name,
modelDescription=self.models[self.currentModel],
control= self.control,
dataset=self.datasets[self.currentDataset])
elif expType == "Anomaly":
self.experimentRunner = AnomalyRunner(
name = self.name,
modelDescription=self.models[self.currentModel],
control= self.control,
dataset=self.datasets[self.currentDataset])
if isLoad:
self.experimentRunner.load()
else:
self.experimentRunner.run()
return self.getExperimentInfo(self.models[self.currentModel])
