def setUp(self):
self.db = db_manager(CONNECTION_STRING,
engine_kwargs={'echo': True}) # connect database
self.vrclassroom = vrclassroomFetchDatabase(self.db)
self.rnd = rndAnalysisDatabase(self.db)
self.features = featureFields([], [])
self.features.addTableFields('head_features', [
"TimeActive", "NumRot", "PercentageDistracted", "TotalDeg",
"PathLen"
])
self.features.addTableFields('cpt_output_results', [
'OmissionErrors', 'CommissionErrors', 'TargetsRT',
'TargetsRtVariability', 'CommissionErrorsRT',
'CommissionErrorsRtVariability'
], 'block=0')
self.features.addTableFields("signal_detection",
["DPrime", "Beta", "C"], 'block=0')
self.features.addOutputFields("bayes_probabilities", [
"DPrimeRawProbabilityADHD", "DPrimeRawProbabilityHealthy",
"OmissionRawProbabilityADHD", "OmissionRawProbabilityHealthy",
"CommissionErrorsRtVariabilityRawProbabilityADHD",
"CommissionErrorsRtVariabilityRawProbabilityHealthy",
"CRawProbabilityADHD", "CRawProbabilityHealthy",
"TotalDegRawProbabilityADHD", "TotalDegRawProbabilityHealthy",
"CommissionRawProbabilityADHD", "CommissionRawProbabilityHealthy",
"TargetRTVRawProbabilityADHD", "TargetRTVRawProbabilityHealthy",
"TotalRawProbabilityADHD", "TotalRawProbabilityHealthy", "Priors",
"FinalProbabilityOfADHD"
])
def setUp(self):
self.db = db_manager(CONNECTION_STRING, engine_kwargs={
'echo': True}) # connect database
self.vrclassroom = vrclassroomFetchDatabase(self.db)
self.rnd = rndAnalysisDatabase(self.db)
# get features
self.features = featureFields([],[])
self.features.addTableFields(
'head_features', ['PathLen', 'TimeActive', 'NumRot', 'TotalDeg'])
self.features.addTableFields('cpt_output_results',
['OmissionErrors', 'CommissionErrors', 'TargetsRT',
'TargetsRtVariability', 'CommissionErrorsRT', 'CommissionErrorsRtVariability'],
'block=0')
def setUp(self):
self.db = db_manager(CONNECTION_STRING, engine_kwargs={'echo': True})
self.vrclassroom = vrclassroomFetchDatabase(self.db)