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