def getParameter(self, parameterName, index=-1): """ Get the value of a NodeSpec parameter. Most parameters are handled automatically by PyRegion's parameter get mechanism. The ones that need special treatment are explicitly handled here. """ return PyRegion.getParameter(self, parameterName, index)
def getParameter(self, name, index=-1): """ Overrides :meth:`nupic.bindings.regions.PyRegion.PyRegion.getParameter`. """ # 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 getParameter(self, parameterName, index=-1): """ Get the value of a NodeSpec parameter. Most parameters are handled automatically by PyRegion's parameter get mechanism. The ones that need special treatment are explicitly handled here. """ if parameterName == 'activeOutputCount': return self.columnCount elif parameterName == 'spatialPoolerInput': return list(self._spatialPoolerInput.reshape(-1)) elif parameterName == 'spatialPoolerOutput': return list(self._spatialPoolerOutput) elif parameterName == 'spNumActiveOutputs': return len(self._spatialPoolerOutput.nonzero()[0]) elif parameterName == 'spOutputNonZeros': return [len(self._spatialPoolerOutput)] + \ list(self._spatialPoolerOutput.nonzero()[0]) elif parameterName == 'spInputNonZeros': import pdb; pdb.set_trace() return [len(self._spatialPoolerInput)] + \ list(self._spatialPoolerInput.nonzero()[0]) elif parameterName == 'spLearningStatsStr': try: return str(self._sfdr.getLearningStats()) except: return str(dict()) else: return PyRegion.getParameter(self, parameterName, index)
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 == "patternCount": return self._knn._numPatterns elif name == "patternMatrix": return self._getPatternMatrix() elif name == "k": return self._knn.k elif name == "distanceNorm": return self._knn.distanceNorm elif name == "distanceMethod": return self._knn.distanceMethod elif name == "distThreshold": return self._knn.distThreshold elif name == "inputThresh": return self._knn.binarizationThreshold elif name == "doBinarization": return self._knn.doBinarization elif name == "useSparseMemory": return self._knn.useSparseMemory elif name == "sparseThreshold": return self._knn.sparseThreshold elif name == "winnerCount": return self._knn.numWinners elif name == "relativeThreshold": return self._knn.relativeThreshold elif name == "SVDSampleCount": v = self._knn.numSVDSamples return v if v is not None else 0 elif name == "SVDDimCount": v = self._knn.numSVDDims return v if v is not None else 0 elif name == "fractionOfMax": v = self._knn.fractionOfMax return v if v is not None else 0 elif name == "useAuxiliary": return self._useAuxiliary elif name == "justUseAuxiliary": return self._justUseAuxiliary elif name == "doSphering": return self._doSphering elif name == "cellsPerCol": return self._knn.cellsPerCol elif name == "maxStoredPatterns": return self.maxStoredPatterns elif name == 'categoryRecencyList': return self._knn._categoryRecencyList 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 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 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 getParameter(self, parameterName, index=-1): """ Get the value of a parameter. Most parameters are handled automatically by PyRegion's parameter get mechanism. The ones that need special treatment are explicitly handled here. """ if parameterName in self._temporalArgNames: return getattr(self._tfdr, parameterName) else: return PyRegion.getParameter(self, parameterName, index)
def getParameter(self, parameterName, index=-1): """ Overrides :meth:`~nupic.bindings.regions.PyRegion.PyRegion.getParameter`. Get the value of a parameter. Most parameters are handled automatically by :class:`~nupic.bindings.regions.PyRegion.PyRegion`'s parameter get mechanism. The ones that need special treatment are explicitly handled here. """ if parameterName in self._temporalArgNames: return getattr(self._tfdr, parameterName) else: return PyRegion.getParameter(self, parameterName, index)
def getParameter(self, name, index=-1): """ Overrides :meth:`nupic.bindings.regions.PyRegion.PyRegion.getParameter`. """ 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 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 getParameter(self, name, index=-1): """ Get the value of a parameter. Note: this method may be overridden by derived classes, but if so, then the derived class should invoke this base method if 'name' is unknown to the derived class. @param name -- the name of the parameter to retrieve, as defined by the Node Spec. """ if name == "SVDSampleCount": return self._SVDSampleCount elif name == "SVDDimCount": return self._SVDDimCount elif name == "fractionOfMax": return self._fractionOfMax elif name == "trainingSampleCount": return self.gettrainingSampleCount() 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)