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Python KNNClassifierRegion.setParameter方法代码示例

本文整理汇总了Python中KNNClassifierRegion.KNNClassifierRegion.setParameter方法的典型用法代码示例。如果您正苦于以下问题:Python KNNClassifierRegion.setParameter方法的具体用法?Python KNNClassifierRegion.setParameter怎么用?Python KNNClassifierRegion.setParameter使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在KNNClassifierRegion.KNNClassifierRegion的用法示例。


在下文中一共展示了KNNClassifierRegion.setParameter方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: KNNAnomalyClassifierRegion

# 需要导入模块: from KNNClassifierRegion import KNNClassifierRegion [as 别名]
# 或者: from KNNClassifierRegion.KNNClassifierRegion import setParameter [as 别名]

#.........这里部分代码省略.........
    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)):
        raise CLAModelInvalidArgument("Invalid argument type \'%s\'. threshold "
          "must be a number." % (type(value)))

      if len(self._recordsCache) > 0 and value < self._recordsCache[0].ROWID:
        raise CLAModelInvalidArgument("Invalid value. autoDetectWaitRecord "
          "value must be valid record within output stream. Current minimum "
          " ROWID in output stream is %d." % (self._recordsCache[0].ROWID))
      
      self.trainRecords = value
      # Remove any labels before the first cached record (wont be used anymore)
      self._deleteRangeFromKNN(0, self._recordsCache[0].ROWID)
      # Reclassify all states
      self.classifyStates()
    elif name == "anomalyThreshold":
      if not (isinstance(value, float) or isinstance(value, int)):
        raise CLAModelInvalidArgument("Invalid argument type \'%s\'. threshold "
          "must be a number." % (type(value)))
      self.anomalyThreshold = value
      self.classifyStates()
    elif name == "classificationMaxDist":
      if not (isinstance(value, float) or isinstance(value, int)):
开发者ID:pjpan,项目名称:nupic,代码行数:70,代码来源:KNNAnomalyClassifierRegion.py


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