Comments (3)
I'll write proper documentation on this later, but for now the process is:
Install hugo and build the hugo part of the site:
sudo apt-get install hugo
cd website
./build_site.sh
rm -rf public/*
hugo
install sphinx and build the sphinx part of the site:
cd sphinx
pip install sphinx sphinx-rtd-theme numpydoc
make
Copy the sphinx part into the hugo part:
cp -r _build/html/ ../public/python_api
The easiest way to push the website that now lives in website/public
to github is with
git worktree add -B gh-pages website/public upstream/gh-pages
If a new class was added, you also need to run the sphinx source generation with
./apidoc.sh
and then reset some files with
git checkout .
easy-peasy!
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@amueller this got done in #50 right? I guess #55 is related as well.
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This got started in #50. #61 applies some additional fixups and extends it to include link checking as well.
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Related Issues (20)
- SMAC optimizer does not support mixed input space HOT 5
- Temporarily disable flaky markdown-link-check test
- Add tests for kv_df_to_dict and mixed integer types
- `objectives.optimization_target` column is too long to be in the primary key for MySQL
- Expand scheduler to support additional policies
- Add a storage API to allow a user to enqueue a new trial for an experiment from a notebook
- mlos_bench: grid search support HOT 1
- Integrate multi objective optimization
- Quantized tunables missing check for quantization alignment in `is_valid` check.
- Config support for pluggable Schedulers
- Tests for Scheduler classes
- Clean up the traces and other temp files after running remote commands on Azure VMs
- Increment iteration counter in `.suggest()` instead of `.register()`
- Document "known" variables in mlos_bench
- Revamp number of iterations vs. number of configs tracking HOT 1
- Get rid of deprecated functions like `datetime.utcnow()`
- mlos_bench: parameter constraints HOT 9
- ConfigSpace crashes with Python 3.12 HOT 1
- Implement `TrialData.objectives` accessor HOT 1
- mlos_bench_service HOT 2
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