def initialize(self):
"""
Method to initialize the Interfaced Post-processor
@ In, None,
@ Out, None,
"""
PostProcessorInterfaceBase.initialize(self)
self.inputFormat = 'HistorySet'
self.outputFormat = 'HistorySet'
def initialize(self):
"""
Method to initialize the Interfaced Post-processor
@ In, None
@ Out, None
"""
PostProcessorInterfaceBase.initialize(self)
self.inputFormat = 'HistorySet'
self.outputFormat = 'PointSet'
#pivotParameter identify the ID of the temporal variable in the data set based on which
# the operations are performed. Optional (defaul=time)
self.pivotParameter = 'time'
self.settings = {'operationType':None,'operationValue':None,'pivotStrategy':'nearest'}
def initialize(self):
"""
Method to initialize the Interfaced Post-processor
@ In, None,
@ Out, None,
"""
PostProcessorInterfaceBase.initialize(self)
self.inputFormat = 'HistorySet'
self.outputFormat = 'HistorySet'
#if not hasattr(self, 'pivotParameter'):
# self.pivotParameter = 'Time' #FIXME this assumes the ARMA model! Dangerous assumption.
if not hasattr(self, 'outputLen'):
self.outputLen = None
def initialize(self):
"""
Method to initialize the Interfaced Post-processor
@ In, None,
@ Out, None,
"""
PostProcessorInterfaceBase.initialize(self)
self.inputFormat = None
self.outputFormat = None
self.label = None
self.clusterIDs = []
def initialize(self):
"""
Method to initialize the Interfaced Post-processor
@ In, None,
@ Out, None,
"""
PostProcessorInterfaceBase.initialize(self)
self.inputFormat = 'HistorySet'
self.outputFormat = 'PointSet'
self.pivotParameter = None
#pivotParameter identify the ID of the temporal variable in the data set; it is used so that in the
#conversion the time array is not inserted since it is not needed (all histories have same length)
self.features = 'all'
def initialize(self, numberOfSamples=None, pivotParameter=None, extension=None, syncMethod=None):
'''
Method to initialize the Interfaced Post-processor
@ In, numberOfSamples, int, (default None)
@ In, pivotParameter, str, ID of the pivot paramter (e.g., time)
@ In, extension, type of extension to be employed
@ In, syncMethod, type of syncrhonization method
@ Out, None,
'''
PostProcessorInterfaceBase.initialize(self)
self.inputFormat = 'HistorySet'
self.outputFormat = 'HistorySet'
self.numberOfSamples = numberOfSamples
self.pivotParameter = pivotParameter
self.extension = extension
self.syncMethod = syncMethod
def initialize(self):
"""
Method to initialize the Interfaced Post-processor
@ In, None,
@ Out, None,
"""
PostProcessorInterfaceBase.initialize(self)
self.inputFormat = 'HistorySet'
self.outputFormat = 'HistorySet'
self.samplingType = None
self.numberOfSamples = None
self.tolerance = None
self.pivotParameter = None
self.interpolation = None
def initialize(self,
numberOfSamples=None,
pivotParameter=None,
extension=None,
syncMethod=None):
"""
Method to initialize the Interfaced Post-processor
@ In, None,
@ Out, None,
"""
PostProcessorInterfaceBase.initialize(self)
self.inputFormat = 'HistorySet'
self.outputFormat = 'HistorySet'
self.numberOfSamples = numberOfSamples
self.pivotParameter = pivotParameter
self.extension = extension
self.syncMethod = syncMethod
def initialize(self):
"""
Method to initialize the Interfaced Post-processor
@ In, None,
@ Out, None,
"""
PostProcessorInterfaceBase.initialize(self)
self.inputFormat = 'HistorySet'
self.outputFormat = 'PointSet'
self.type = None
self.pivotParameter = None
self.pivotVar = None
self.pivotVal = None
self.timeInstant = None
self.numberOfSamples = None
self.pivotParameter = None
self.interpolation = None
self.classifiers = {} #for "mixed" mode
