def updateParams(self,
z,
As,
sigmas,
C,
R,
mu0,
sigma0,
u=None,
ys=None,
computeMarginal=True):
self.parameterCheck(z, As, sigmas, C, R, mu0, sigma0, u=u, ys=ys)
n1Trans, n2Trans, n3Trans = zip(*[
Regression.standardToNat(A, sigma) for A, sigma in zip(As, sigmas)
])
n1Emiss, n2Emiss, n3Emiss = Regression.standardToNat(C, R)
n1Init, n2Init = Normal.standardToNat(mu0, sigma0)
self.updateNatParams(z,
n1Trans,
n2Trans,
n3Trans,
n1Emiss,
n2Emiss,
n3Emiss,
n1Init,
n2Init,
u=u,
ys=ys,
computeMarginal=computeMarginal)
def updateParams( self, initialDist, transDist, mus, sigmas, ys=None, computeMarginal=True ):
self.parameterCheck( initialDist, transDist, mus, sigmas, ys )
nInit, = Categorical.standardToNat( initialDist )
nTrans, = Transition.standardToNat( transDist )
n1Emiss, n2Emiss = zip( *[ Normal.standardToNat( mu, sigma ) for mu, sigma in zip( mus, sigmas ) ] )
self.updateNatParams( nInit, nTrans, n1Emiss, n2Emiss, ys=ys )
def updateParams( self, initialDist, transDist, mu0, sigma0, u, As, sigmas, xs=None, computeMarginal=True ):
self.parameterCheck( initialDist, transDist, mu0, sigma0, u, As, sigmas, xs=xs )
nInit, = Categorical.standardToNat( initialDist )
nTrans, = Transition.standardToNat( transDist )
nat1_0, nat2_0 = Normal.standardToNat( mu0, sigma0 )
nat1Trans, nat2Trans, nat3Trans = zip( *[ Regression.standardToNat( A, sigma ) for A, sigma in zip( As, sigmas ) ] )
self.updateNatParams( nInit, nTrans, nat1_0, nat2_0, nat1Trans, nat2Trans, nat3Trans, u=u, xs=xs )
def updateParams(self,
A,
sigma,
C,
R,
mu0,
sigma0,
u=None,
ys=None,
computeMarginal=True):
self.parameterCheck(A, sigma, C, R, mu0, sigma0, u=u, ys=ys)
n1Init, n2Init = Normal.standardToNat(mu0, sigma0)
n1Emiss, n2Emiss, n3Emiss = Regression.standardToNat(C, R)
n1Trans, n2Trans, n3Trans = Regression.standardToNat(A, sigma)
self.updateNatParams(n1Trans,
n2Trans,
n3Trans,
n1Emiss,
n2Emiss,
n3Emiss,
n1Init,
n2Init,
u=u,
ys=ys,
computeMarginal=computeMarginal)
self.fromNatural = False
self._A = A
self._sigma = sigma
self._C = C
self._R = R
self._mu0 = mu0
self._sigma0 = sigma0
def standardToNat( cls, A, sigma, C, R, mu0, sigma0 ):
n1, n2, n3 = Regression.standardToNat( A, sigma )
n4, n5, n6 = Regression.standardToNat( C, R )
n7, n8 = Normal.standardToNat( mu0, sigma0 )
return n1, n2, n3, n4, n5, n6, n7, n8