本文整理匯總了Python中KNNClassifierRegion.KNNClassifierRegion.getParameter方法的典型用法代碼示例。如果您正苦於以下問題：Python KNNClassifierRegion.getParameter方法的具體用法？Python KNNClassifierRegion.getParameter怎麽用？Python KNNClassifierRegion.getParameter使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類KNNClassifierRegion.KNNClassifierRegion的用法示例。
在下文中一共展示了KNNClassifierRegion.getParameter方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: KNNAnomalyClassifierRegion
# 需要導入模塊: from KNNClassifierRegion import KNNClassifierRegion [as 別名]
# 或者: from KNNClassifierRegion.KNNClassifierRegion import getParameter [as 別名]
#.........這裏部分代碼省略.........
# Internal Region Values
self._maxLabelOutputs = 16
self._activeColumnCount = activeColumnCount
self._prevPredictedColumns = numpy.array([])
self._anomalyVectorLength = None
self._classificationMaxDist = classificationMaxDist
self._iteration = 0
# Set to create deterministic classifier
classifierArgs['SVDDimCount'] = None
# Parameters
self.trainRecords = trainRecords
self.anomalyThreshold = anomalyThreshold
self.cacheSize = cacheSize
self.classificationVectorType = classificationVectorType
self._knnclassifierArgs = classifierArgs
self._knnclassifier = KNNClassifierRegion(**self._knnclassifierArgs)
self.labelResults = []
self.saved_categories = []
self._recordsCache = []
self._version = KNNAnomalyClassifierRegion.__VERSION__
# anomaly
self._anomaly = Anomaly()
def initialize(self, dims, splitterMaps):
assert tuple(dims) == (1,) * len(dims)
def getParameter(self, name, index=-1):
"""
Get the value of the parameter.
@param name -- the name of the parameter to retrieve, as defined
by the Node Spec.
"""
if name == "trainRecords":
return self.trainRecords
elif name == "anomalyThreshold":
return self.anomalyThreshold
elif name == "activeColumnCount":
return self._activeColumnCount
elif name == "classificationMaxDist":
return self._classificationMaxDist
else:
# If any spec parameter name is the same as an attribute, this call
# will get it automatically, e.g. self.learningMode
return PyRegion.getParameter(self, name, index)
def setParameter(self, name, index, value):
"""
Set the value of the parameter.
@param name -- the name of the parameter to update, as defined
by the Node Spec.
@param value -- the value to which the parameter is to be set.
"""
if name == "trainRecords":
# Ensure that the trainRecords can only be set to minimum of the ROWID in
# the saved states
if not (isinstance(value, float) or isinstance(value, int)):