def vbsfuncv3(args):
x = args["x"]
param_dict = {
"spParams": {
"potentialPct": x[3],
"numActiveColumnsPerInhArea": int(x[4]),
"synPermConnected": x[5],
"synPermInactiveDec": x[6]
},
"tmParams": {
"activationThreshold": int(x[7])
},
"newSynapseCount": int(x[8])
}
return HTM(VeryBasicSequence(pattern=args["pattern"]),
x[0],
params=param_dict,
verbosity=0).train(error_method="binary",
sibt=int(x[1]),
iter_per_cycle=int(x[2]))
def vbsfuncv2(args):
x = args["x"]
return HTM(VeryBasicSequence(pattern=args["pattern"]), x[0],
verbosity=0).train(error_method="binary",
sibt=int(x[1]),
iter_per_cycle=int(x[2]))
def sanfunc(x):
return HTM(VeryBasicSequence(pattern=1, n=1000), x[0],
verbosity=0).train(error_method="binary")
def vbsfuncv1(args):
x = args["x"]
return HTM(VeryBasicSequence(pattern=args["pattern"]), x[0],
verbosity=0).train(error_method="binary")
def func5(x):
time_series = VeryBasicSequence(pattern=4)
network = HTM(time_series, x[0], cellsPerMiniColumn=8, verbosity=0)
return train(network, error_method="Binary")