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ENH: Switch recommonmark to MyST-parser (#787)
* 📝 Create basic for ML API * 📝 Add ML/configs base doc files * 📝 Finish ML/configs API * 📝 Update augmentations * 📝 Add ML/dataset API docs * 📝 Add rst skeleton for ML/models * 📝 Fix docstring missing newlines * Remove script * 📝 Finish ML/models API docs * 📝 Start ML/SSL API. Fix some formatting issues * 📝 Correct whitespace issues in `:param` * 📝 Fix whitespace errors on `:return` statements * 📝 Fix :return: statements * 📝 Finish ML/SSL API * 📝 Add ML/utils API docs * 📝 Add visualizer docs, fix `:raise` indents * 📝 Fix more issues with the `:raises:` formatting * ♻️ Restructuring folders * 📝 Limit API `toctree` depth * 📝 Add primary InnerEye/ML files API to docs * 📝 Fix and add `InnerEye/ML/*.py` docs * ⚰️ Remove weird `settings.json` change * 📌 Switch recommonmark to MyST-parser * 📌 Add myst-parser to `environment.yml`, lock env
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# Building docs for InnerEye-DeepLearning | ||
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1. First, make sure you have all the packages necessary for InnerEye. | ||
2. Install pip dependencies from docs/requirements.txt: | ||
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```shell | ||
pip install -r requirements.txt | ||
``` | ||
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1. Run `make html` from the `docs` folder. This will create html files under docs/build/html. | ||
1. From the `docs/build/html` folder, run `python -m http.server 8080` to host the docs locally. | ||
1. From your browser, navigate to `http:https://localhost:8080` to view the documentation. | ||
1. First, make sure you have set up your conda environment as described in the [Quick Setup Guide](../README.md#quick-setup). | ||
2. Run `make html` from the `docs` folder. This will create html files under docs/build/html. | ||
3. From the `docs/build/html` folder, run `python -m http.server 8080` to host the docs locally. | ||
4. From your browser, navigate to `http:https://localhost:8080` to view the documentation. |
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