def from_mean_field(cls, mean_field, gpu_compat=False):
"""
Construct FullRankADVI from MeanField approximation
Parameters
----------
mean_field : :class:`MeanField`
approximation to start with
Other Parameters
----------------
gpu_compat : `bool`
use GPU compatible version or not
Returns
-------
:class:`FullRankADVI`
"""
full_rank = FullRank.from_mean_field(mean_field, gpu_compat)
inference = object.__new__(cls)
Inference.__init__(inference, KL, full_rank, None)
return inference
def from_mean_field(cls, mean_field, gpu_compat=False):
"""
Construct FullRankADVI from MeanField approximation
Parameters
----------
mean_field : :class:`MeanField`
approximation to start with
Other Parameters
----------------
gpu_compat : `bool`
use GPU compatible version or not
Returns
-------
:class:`FullRankADVI`
"""
full_rank = FullRank.from_mean_field(mean_field, gpu_compat)
inference = object.__new__(cls)
Inference.__init__(inference, KL, full_rank, None)
return inference
def from_mean_field(cls, mean_field, gpu_compat=False):
"""
Construct FullRankADVI from MeanField approximation
Parameters
----------
mean_field : MeanField
approximation to start with
Flags
-----
gpu_compat : bool
use GPU compatible version or not
Returns
-------
FullRankADVI
"""
full_rank = FullRank.from_mean_field(mean_field, gpu_compat)
inference = object.__new__(cls)
objective = KL(full_rank)(None)
inference.objective = objective
inference.hist = np.asarray(())
return inference
def from_mean_field(cls, mean_field, gpu_compat=False):
"""
Construct FullRankADVI from MeanField approximation
Parameters
----------
mean_field : MeanField
approximation to start with
Flags
-----
gpu_compat : bool
use GPU compatible version or not
Returns
-------
FullRankADVI
"""
full_rank = FullRank.from_mean_field(mean_field, gpu_compat)
inference = object.__new__(cls)
objective = KL(full_rank)(None)
inference.objective = objective
inference.hist = np.asarray(())
return inference