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b/docs/.nojekyll new file mode 100644 index 00000000..e69de29b diff --git a/docs/Makefile b/docs/Makefile deleted file mode 100644 index 0c4f41bf..00000000 --- a/docs/Makefile +++ /dev/null @@ -1,28 +0,0 @@ -# Minimal makefile for Sphinx documentation -# - -# You can set these variables from the command line, and also -# from the environment for the first two. -SPHINXOPTS ?= -SPHINXBUILD ?= sphinx-build -SOURCEDIR = . -BUILDDIR = _build - -# Put it first so that "make" without argument is like "make help". -help: - @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) - -.PHONY: help Makefile - -# Catch-all target: route all unknown targets to Sphinx using the new -# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). - -# Create a .py (percent format with multiline comments) from an .ipynb in the first place: -# jupytext --update-metadata '{"jupytext": {"cell_markers": "\"\"\""}}' --to py:percent .ipynb - -# Convert .py to .ipynb (don't seem to need to --execute? perhaps sphinx-build does it...), then build html: -%: Makefile - rm -rf _build - rm -rf _autosummary - jupytext --to notebook notebooks/*.py - @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/docs/README.md b/docs/README.md deleted file mode 100644 index ddaf6188..00000000 --- a/docs/README.md +++ /dev/null @@ -1,52 +0,0 @@ -# GPflux documentation - -The API reference (generated from docstrings) and Jupyter Notebook tutorials are automatically built by a Github action (see .github/workflows/deploy.yaml) on commit to `develop` and published to [https://secondmind-labs.github.io/GPflux/](https://secondmind-labs.github.io/GPflux/). - -## Jupyter Notebooks - -If you want to run the Jupyter Notebook tutorials interactively, install additional dependencies in the `docs` directory: - -`pip install -r docs_requirements.txt` - -...and then run the appropriate Notebook: - -`jupyter-notebook notebooks/` - -If you want to create a new Notebook tutorial for inclusion in the doc set, see `notebooks/README.md`. - -## API reference - -If you want to build the documentation locally: - -1) Make sure you have a Python 3.7 virtualenv and `gpflux` is installed as per the instructions in `../README.md`) - -3) In the `docs` directory, install dependencies: - - `pip install -r docs_requirements.txt` - - If pandoc does not install via pip, or step 3) fails with a 'Pandoc' error, download and install Pandoc separately from `https://github.com/jgm/pandoc/releases/` (e.g. `pandoc--amd64.deb` for Ubuntu), and try running step 2) again. - -4) Compile the documentation: - - `make html` - -5) Run a web server: - - `python -m http.server` - -6) Check documentation locally by opening (in a browser): - - [`http://localhost:8000/_build/html/`](http://localhost:8000/_build/html/) - - - -## Intersphinx and TensorFlow/Probability - -TensorFlow and TensorFlow Probability have their own custom API docs system. We have manually produced (web-scraped) intersphinx inventories to be able to cross-reference tf and tfp classes and functions. -They are now hosted on [the GPflow/tensorflow-intersphinx GitHub](https://github.com/GPflow/tensorflow-intersphinx/). - -TF/P provides a lot of aliases for accessing objects. However, the intersphinx inventories only contain some of them. You can find the correct way of referencing by looking through the list generated by -`python -msphinx.ext.intersphinx tf2_py_objects.inv` -or -`python -msphinx.ext.intersphinx tfp_py_objects.inv` -Note that this requires you to have local copies, e.g. downloaded from GitHub ([TF](https://github.com/GPflow/tensorflow-intersphinx/raw/master/tf2_py_objects.inv)/[TFP](https://github.com/GPflow/tensorflow-intersphinx/raw/master/tfp_py_objects.inv)). diff --git a/docs/_autosummary/gpflux.html b/docs/_autosummary/gpflux.html new file mode 100644 index 00000000..3c165a21 --- /dev/null +++ b/docs/_autosummary/gpflux.html @@ -0,0 +1,461 @@ + + + + + + + + + + + gpflux — GPflux 0.1.0 documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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gpflux#

+

The library root. See DeepGP for the core Deep GP model, +which is built out of different GP layers.

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