testingSet="testingData.csv",
# Data set and encoding
numAValues=25,
numBValues=25,
b0Likelihood=0.90, # Likelihood of getting 0 out of field B. None means
# not any more likely than any other B value.
testSetPct=0.0, # What percent of unique combinations to reserve
encodingFieldStyleA="sdr", # contiguous, sdr
encodingFieldWidthA=50,
encodingOnBitsA=21,
encodingFieldStyleB="sdr", # contiguous, sdr
encodingFieldWidthB=50, # 15, None means set same as A
encodingOnBitsB=23, # 3, None means set same as A
)
updateConfigFromSubConfig(config)
if config["encodingFieldWidthB"] is None:
config["encodingFieldWidthB"] = config["encodingFieldWidthA"]
if config["encodingOnBitsB"] is None:
config["encodingOnBitsB"] = config["encodingOnBitsA"]
if config["tpActivationThresholds"] is None:
config["tpActivationThresholds"] = range(8, config["spNumActivePerInhArea"] + 1)
def getBaseDatasets():
# we generate all of our data
return dict()
spNumActivePerInhArea=3,
# TM params
tpNCellsPerCol=20,
tpInitialPerm=0.6,
tpPermanenceInc=0.1,
tpPermanenceDec=0.000,
tpGlobalDecay=0.0,
tpPAMLength=1,
tpMaxSeqLength=0,
tpMaxAge=1,
tpTimingEvery=0,
temporalImp='cpp',
)
updateConfigFromSubConfig(config)
# ==========================================================================
# Was a complete dataset package specified? This is an alternate way to
# specify a bunch of dataset related config parameters at once. They are
# especially helpful when running permutations - it keeps the permutations
# directory names shorter.
if config['dataSetPackage'] is not None:
assert (config['filenameTrain'] == 'confidence/confidence1.csv')
assert (config['filenameTest'] == 'confidence/confidence1.csv')
assert (config['filenameCategory'] == None)
assert (config['dataGenScript'] == None)
assert (config['dataDesc'] == None)
assert (config['dataGenNumCategories'] == None)
assert (config['dataGenNumTraining'] == None)
assert (config['dataGenNumTesting'] == None)