https://github.com/GPflow/GPflow
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Tip revision: bf3bd5f430ac2aaf55e76bb5820a0002060ece14 authored by johnamcleod on 23 August 2021, 09:48:13 UTC
Use HeteroskedasticTFP likelihood
Tip revision: bf3bd5f
__init__.py
from . import multioutput
from .base import Combination, Kernel, Product, Sum
from .changepoints import ChangePoints
from .convolutional import Convolutional
from .linears import Linear, Polynomial
from .misc import ArcCosine, Coregion
from .multioutput import (
    IndependentLatent,
    LinearCoregionalization,
    MultioutputKernel,
    SeparateIndependent,
    SharedIndependent,
)
from .periodic import Periodic
from .statics import Constant, Static, White

from .stationaries import (  # isort:skip
    # base classes:
    Stationary,
    IsotropicStationary,
    AnisotropicStationary,
    # actual kernel classes:
    Cosine,
    Exponential,
    Matern12,
    Matern32,
    Matern52,
    RationalQuadratic,
    SquaredExponential,
)

Bias = Constant
RBF = SquaredExponential
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