mo_features.py
# Copyright 2018 GPflow authors
#
# 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 .features import InducingFeature
class Mof(InducingFeature):
"""
Class used to indicate that we are dealing with
features that are used for multiple outputs.
"""
pass
class SharedIndependentMof(Mof):
"""
Same feature is used for each output.
"""
def __init__(self, feature):
Mof.__init__(self)
self.feature = feature
def __len__(self):
return len(self.feature)
class SeparateIndependentMof(Mof):
"""
A different feature is used for each output.
Note: each feature should have the same number of points, M.
"""
def __init__(self, features):
Mof.__init__(self)
self.features = features
def __len__(self):
return len(self.features[0])
class MixedKernelSharedMof(SharedIndependentMof):
"""
This Mof is used in combination with the `SeparateMixedMok`.
Using this feature with the `SeparateMixedMok` leads to the most efficient code.
"""
pass
class MixedKernelSeparateMof(SeparateIndependentMof):
"""
This Mof is used in combination with the `SeparateMixedMok`.
Using this feature with the `SeparateMixedMok` leads to the most efficient code.
"""
pass