code: def clear(self):
      
      self._Memory = None
      self._numPatterns = 0
      self._M = None
      self._categoryList = []
      self._partitionIdList = []
      self._partitionIdMap = {}
      self._finishedLearning = False
      self._iterationIdx = -1
  
      # Fixed capacity KNN
      if self.maxStoredPatterns > 0:
        assert self.useSparseMemory, ("Fixed capacity KNN is implemented only "
                                      "in the sparse memory mode")
        self.fixedCapacity = True
        self._categoryRecencyList = []
      else:
        self.fixedCapacity = False
  
      # Cached value of the store prototype sizes
      self._protoSizes = None
  
      # Used by PCA
      self._s = None
      self._vt = None
      self._nc = None
      self._mean = None
  
      # Used by Network Builder
      self._specificIndexTraining = False
      self._nextTrainingIndices = None
docs: Clears the state of the KNNClassifier.