def __init__(self, skip=0, prior=0, segmental=False, **kwargs):
CoreModel.__init__(self, name="Pretrained-Model", **kwargs)
if prior: self.potentials["prior"] = priors.temporal_prior(length=prior, name="prior")
self.potentials["pre"] = unary.pretrained_unary()
if skip: self.potentials["pw"] = pw.pairwise(skip=skip)
if segmental: self.potentials["seg_pw"] = pw.segmental_pairwise(name="seg_pw")
def __init__(self, n_latent, skip=1, **kwargs):
# CoreLatentModel.__init__(self, n_latent, name="Latent Skip Chain Model", **kwargs)
super(CoreLatentModel,self).__init__(name="Latent Skip Chain Model", **kwargs)
self.potentials["prior.temporal_prior"] = priors.temporal_prior(length=30)
self.potentials["unary"] = unary.framewise_unary()
# if skip: self.potentials["pw2"] = pw.pairwise("pw2", skip*2)
if skip: self.potentials["pw"] = pw.pairwise(skip, name="pw")
def __init__(self, skip=1, **kwargs):
CoreModel.__init__(self, name="SC-Model", **kwargs)
# self.potentials["class_prior"] = class_prior()
# self.potentials["prior.temporal_prior"] = prior.temporal_prior(length=30)
self.potentials["unary"] = unary.framewise_unary()
# self.potentials["pw2"] = pw.pairwise("pw2", skip*2)
if skip: self.potentials["pw"] = pw.pairwise(skip, name="pw")
def __init__(self, skip=1, conv_len=100, **kwargs):
CoreModel.__init__(self, name="Conv-Model", **kwargs)
self.debug = debug
# self.potentials["prior.temporal_prior"] = prior.temporal_prior(length=30)
self.potentials["conv"] = unary.conv_unary(conv_len=conv_len)
# self.potentials["class_prior"] = class_prior()
# self.potentials["pw2"] = pw.pairwise("pw2", skip*2)
if skip: self.potentials["pw"] = pw.pairwise(skip, name="pw")
def __init__(self, skip=1, conv_len=100, **kwargs):
CoreModel.__init__(self, name="Conv-Model", **kwargs)
self.debug = debug
# self.potentials["prior.temporal_prior"] = prior.temporal_prior(length=30)
self.potentials["conv"] = unary.conv_unary(conv_len=conv_len)
# self.potentials["class_prior"] = class_prior()
# self.potentials["pw2"] = pw.pairwise("pw2", skip*2)
if skip: self.potentials["pw"] = pw.pairwise(skip, name="pw")
def __init__(self, skip=1, **kwargs):
CoreModel.__init__(self, name="SC-Model", **kwargs)
# self.potentials["class_prior"] = class_prior()
# self.potentials["prior.temporal_prior"] = prior.temporal_prior(length=30)
self.potentials["unary"] = unary.framewise_unary()
# self.potentials["pw2"] = pw.pairwise("pw2", skip*2)
if skip: self.potentials["pw"] = pw.pairwise(skip, name="pw")
def __init__(self, skip=0, prior=0, segmental=False, **kwargs):
CoreModel.__init__(self, name="Pretrained-Model", **kwargs)
if prior:
self.potentials["prior"] = priors.temporal_prior(length=prior,
name="prior")
self.potentials["pre"] = unary.pretrained_unary()
if skip: self.potentials["pw"] = pw.pairwise(skip=skip)
if segmental:
self.potentials["seg_pw"] = pw.segmental_pairwise(name="seg_pw")
def __init__(self, n_latent, conv_len=100, skip=1, prior=False, **kwargs):
CoreLatentModel.__init__(self,
n_latent,
name="Latent Convolutional Model",
**kwargs)
if prior:
self.potentials["temporal_prior"] = priors.temporal_prior(
length=30)
self.potentials["conv"] = unary.conv_unary(conv_len=conv_len)
if skip: self.potentials["pw"] = pw.pairwise(skip, name="pw")
def __init__(self, n_latent, skip=1, **kwargs):
# CoreLatentModel.__init__(self, n_latent, name="Latent Skip Chain Model", **kwargs)
super(CoreLatentModel, self).__init__(name="Latent Skip Chain Model",
**kwargs)
self.potentials["prior.temporal_prior"] = priors.temporal_prior(
length=30)
self.potentials["unary"] = unary.framewise_unary()
# if skip: self.potentials["pw2"] = pw.pairwise("pw2", skip*2)
if skip: self.potentials["pw"] = pw.pairwise(skip, name="pw")
def __init__(self, n_latent, conv_len=100, skip=1, prior=False, **kwargs):
CoreLatentModel.__init__(self, n_latent, name="Latent Convolutional Model", **kwargs)
if prior: self.potentials["temporal_prior"] = priors.temporal_prior(length=30)
self.potentials["conv"] = unary.conv_unary(conv_len=conv_len)
if skip: self.potentials["pw"] = pw.pairwise(skip, name="pw")
