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):
"""
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 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)
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)