Hello NuPIC,
There is "inferenceType" field both in search_def and also in model_params
(generated from search_def) Are there also equivalents for "iterationCount"
and "swarmSize" in model_params? I'm asking because I've resurrected model
standard way:
model = ModelFactory.loadFromCheckpoint("saved_model_state")
and I'm wondering if it is possible to get the model_params which were used
when this model was created (before it was saved using model.save)? So far
I've set debugger on line where model was resurrected and started to play
with it. I've noticed that there are various get* functions:
ipdb> model.
model.anomalyAddLabel model.enableInference
model.getInferenceArgs model.isInferenceEnabled
model.resetSequenceStates model.setFieldStatistics
model.anomalyGetLabels model.enableLearning
model.getInferenceType model.isLearningEnabled
model.run model.write
model.anomalyRemoveLabels model.finishLearning
model.getParameter model.load
model.save model.writeToCheckpoint
model.disableInference model.getAnomalyParameter
model.getProtoType model.read
model.setAnomalyParameter
model.disableLearning model.getFieldInfo
model.getRuntimeStats model.readFromCheckpoint
model.setEncoderLearning
The closest I get are those functions but I do not know if e.g. numRunCalls
corresponds to iterationCount:
##########################################################################################################
ipdb> model.getFieldInfo(includeClassifierOnlyField=True)
(FieldMetaInfoBase(name='sine', type='float', special=''),)
ipdb> model.getFieldInfo()
(FieldMetaInfoBase(name='sine', type='float', special=''),)
ipdb> model.getInferenceArgs()
{'predictedField': 'sine'}
ipdb> model.getInferenceType()
'TemporalAnomaly'
ipdb> model.getRuntimeStats()
{'numRunCalls': 3000, 'TemporalNextStep': {}}
Those are not working (I do not know what parameters should I to pass into
it):
###############################################################################
ipdb> model.getAnomalyParameter("swarmSize")
ERR: No item named: swarmSize
[/home/travis/build/numenta/nupic.core/src/nupic/ntypes/Collection.cpp line
94]
*** Exception: getParameter -- parameter name 'swarmSize' does not exist in
region AnomalyClassifier of type py.KNNAnomalyClassifierRegion
#
https://github.com/numenta/nupic/blob/master/src/nupic/frameworks/opf/clamodel.py#L332
# self._getAnomalyClassifier().getParameter(param)
ipdb> model._getAnomalyClassifier()
<nupic.engine.Region object at 0x7fb9de282bd0>
ipdb> model.getParameter("swarmSize")
*** RuntimeError: 'swarmSize' parameter is not exposed by clamodel.
I was studying following documents/codes but I did not figured it out:
#####################################################################
http://numenta.org/docs/nupic/classnupic_1_1frameworks_1_1opf_1_1modelfactory_1_1_model_factory.html
http://numenta.org/docs/nupic/classnupic_1_1frameworks_1_1opf_1_1model_1_1_model.html
https://github.com/numenta/nupic/blob/master/src/nupic/frameworks/opf/clamodel.py
https://github.com/numenta/nupic/blob/master/src/nupic/frameworks/opf/model.py
https://github.com/numenta/nupic/blob/master/src/nupic/frameworks/opf/modelfactory.py
One surprising thing that I've noticed is that e.g. there is function
"writeToCheckpoint" of model (see above my ipdb command) but in this
documentation it is not mentioned
http://numenta.org/docs/nupic/classnupic_1_1frameworks_1_1opf_1_1model_1_1_model.html
How is this possible?
Regards
Wakan Tanka
--
Best Regards
Name: Wakan Tanka a.k.a. Wakatana a.k.a. MackoP00h
Location: Europe
Note: I'm non native English speaker so please bare with me ;)
Contact:
[email protected]
http://stackoverflow.com/users/1616488/wakan-tanka
https://github.com/wakatana
https://twitter.com/MackoP00h
