https://github.com/GPflow/GPflow
Revision 0adad1379d94928cfd22d5a737ae354526cc6c93 authored by John Bradshaw on 03 October 2017, 15:58:18 UTC, committed by John Bradshaw on 03 October 2017, 15:58:18 UTC
* Random features for SVGP model * Changed interface for random features so that returns whether given back variance or precisions -- stops unnecessary converting stuff. * Fixed tests for GPR with this new interface.
1 parent c29ef9c
Tip revision: 0adad1379d94928cfd22d5a737ae354526cc6c93 authored by John Bradshaw on 03 October 2017, 15:58:18 UTC
SVGP random features
SVGP random features
Tip revision: 0adad13
tf_hacks.py
# Copyright 2016 James Hensman, alexggmatthews
#
# 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.
"""
A collection of hacks for tensorflow.
this has been renamed tf_wraps, and is deprecated
"""
from . import tf_wraps
import numpy as np
import warnings
def eye(N): # pragma: no cover
warnings.warn('tf_hacks is deprecated: use tf_wraps instead', np.VisibleDeprecationWarning)
return tf_wraps.eye(N)
def vec_to_tri(N): # pragma: no cover
warnings.warn('tf_hacks is deprecated: use tf_wraps instead', np.VisibleDeprecationWarning)
return tf_wraps.vec_to_tri(N)
def tri_to_vec(N): # pragma: no cover
warnings.warn('tf_hacks is deprecated: use tf_wraps instead', np.VisibleDeprecationWarning)
return tf_wraps.tri_to_vec(N)
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