https://github.com/GPflow/GPflow
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Tip revision: 2b0999ebc4d6e81c567fd9d0f7b3d78c1b8fd136 authored by frgsimpson on 29 June 2022, 15:38:42 UTC
Adjust sgpr to support likelihood variance in vector form
Tip revision: 2b0999e
__init__.py
from .cglb import CGLB
from .gplvm import GPLVM, BayesianGPLVM
from .gpmc import GPMC
from .gpr import GPR
from .model import BayesianModel, GPModel
from .sgpmc import SGPMC
from .sgpr import GPRFITC, SGPR
from .svgp import SVGP
from .training_mixins import ExternalDataTrainingLossMixin, InternalDataTrainingLossMixin
from .util import maximum_log_likelihood_objective, training_loss, training_loss_closure
from .vgp import VGP, VGPOpperArchambeau

__all__ = [
    "BayesianGPLVM",
    "BayesianModel",
    "CGLB",
    "ExternalDataTrainingLossMixin",
    "GPLVM",
    "GPMC",
    "GPModel",
    "GPR",
    "GPRFITC",
    "InternalDataTrainingLossMixin",
    "SGPMC",
    "SGPR",
    "SVGP",
    "VGP",
    "VGPOpperArchambeau",
    "cglb",
    "gplvm",
    "gpmc",
    "gpr",
    "maximum_log_likelihood_objective",
    "model",
    "sgpmc",
    "sgpr",
    "svgp",
    "training_loss",
    "training_loss_closure",
    "training_mixins",
    "util",
    "vgp",
]
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