def SummaryAlg(*args):
''' Summarize pairwise potentials of single HMM sequence.
Related
-------
SummaryAlg_py
Returns
-------
TransStateCount
Htable
'''
if cppReady() and PlatformConfig['FwdBwdImpl'] == "cpp":
return SummaryAlg_cpp(*args)
else:
return SummaryAlg_py(*args)
def FwdAlg(PiInit, PiMat, SoftEv):
''' Forward algorithm for a single HMM sequence. Wrapper for py/cpp.
Related
-------
FwdAlg_py
Returns
-------
fmsg : 2D array, size T x K
fmsg[t,k] = p( z[t,k] = 1 | x[1] ... x[t] )
margPrObs : 1D array, size T
margPrObs[t] = p( x[t] | x[1], x[2], ... x[t-1] )
'''
if cppReady() and PlatformConfig['FwdBwdImpl'] == "cpp":
return FwdAlg_cpp(PiInit, PiMat, SoftEv)
else:
return FwdAlg_py(PiInit, PiMat, SoftEv)
def BwdAlg(PiInit, PiMat, SoftEv, margPrObs):
''' Backward algorithm for a single HMM sequence.
Wrapper for BwdAlg_py/BwdAlg_cpp.
Related
-------
BwdAlg_py
Returns
-------
bmsg : 2D array, size TxK
bmsg[t,k] = p( x[t+1], x[t+2], ... x[T] | z[t,k] = 1 )
-------------------------------------
p( x[t+1], x[t+2], ... x[T] | x[1] ... x[t])
'''
if cppReady() and PlatformConfig['FwdBwdImpl'] == "cpp":
return BwdAlg_cpp(PiInit, PiMat, SoftEv, margPrObs)
else:
return BwdAlg_py(PiInit, PiMat, SoftEv, margPrObs)