https://github.com/GPflow/GPflow
Revision 1c74ce40280e27b1019878243a1478e900b5a3fb authored by James Hensman on 28 January 2019, 17:13:41 UTC, committed by GitHub on 28 January 2019, 17:13:41 UTC
* Release v1.3.0 (#869) * cleaning up some of the .rst files into a flatter hierarchy * editing upper bound notebook so that headers don't interfere with the doc structure * some eidts to the GPR docstring and call signature * imrpving kernel docstrings * improving SGPR call signature * simplifying use of abc.abstractmethod * reinstating a very important period * Update gpflow/kernels.py Co-Authored-By: jameshensman <james.hensman@gmail.com> * improvements for kernel docstrings * typo fix in gpflow/models/gpr.py Co-Authored-By: jameshensman <james.hensman@gmail.com> * typo fix in gpflow/models/sgpr.py Co-Authored-By: jameshensman <james.hensman@gmail.com> * more kernel docstring improvements * Added module level descriptions of likelihoods and kernels, fixed table in intro, and added auto-detection of modules with auto-members * Fixed minor typos in the docs * improving TOC by setting trtee depth to 2 * some copyright edits * Moved documentation from .rst to module level documentation * including missing argument in SGPR init * Added mean function module level documentation, changed to unicode from LaTeX for readability in code
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Tip revision: 1c74ce40280e27b1019878243a1478e900b5a3fb authored by James Hensman on 28 January 2019, 17:13:41 UTC
Hackathon doc cleanup (#906)
Hackathon doc cleanup (#906)
Tip revision: 1c74ce4
Dockerfile
# Copyright 2016 The 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.
#USAGE:
#To run from prebuilt version use:
#docker run -it -p 8888:8888 gpflow/gpflow
#To replicate build use:
#docker build -t gpflow/gpflow .
#Assumes you are running from within cloned repo.
#Uses official Tensorflow docker for cpu only.
FROM tensorflow/tensorflow:1.12.0
COPY ./ /usr/local/GPflow/
RUN cd /usr/local/GPflow && \
python setup.py develop && \
rm /notebooks/* && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
COPY doc/source/notebooks/ LICENSE README.md /notebooks/
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