swh:1:snp:d2bcff616bbf538fe8ce2a9c384200307730292a
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Tip revision: 9542ba90f56b11407a7f9a9af3a2330ee2eb1762 authored by ST John on 15 December 2020, 20:05:34 UTC
WIP: reworking to closure
Tip revision: 9542ba9
misc.py
# Copyright 2017-2020 The GPflow Contributors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from .base import MonteCarloLikelihood
from .scalar_continuous import Gaussian


class GaussianMC(MonteCarloLikelihood, Gaussian):
    """
    Stochastic version of Gaussian likelihood for demonstration purposes only.
    """

    pass
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