chore: import upstream snapshot with attribution
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# MLflow API Documentation
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This directory contains the MLflow API reference. The source code (`.rst` files) is relatively minimal, as the API docs are mainly populated by docstrings in the MLflow Python source.
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## Building the docs
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First, install dependencies for building docs as described in the [Environment Setup and Python configuration](https://github.com/mlflow/mlflow/blob/master/CONTRIBUTING.md#environment-setup-and-python-configuration) section of the main MLflow contribution guide.
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Building documentation requires [Pandoc](https://pandoc.org/index.html). It should have already been
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installed if you used the automated env setup script
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([dev-env-setup.sh](https://github.com/mlflow/mlflow/blob/master/dev/dev-env-setup.sh)),
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but if you are manually installing dependencies, please follow [the official instruction](https://pandoc.org/installing.html).
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Also, check the version of your installation via `pandoc --version` and ensure it is 2.2.1 or above.
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If you are using Mac OSX, be aware that the Homebrew installation of Pandoc may be outdated. If you are using Linux,
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you should use a deb installer or install from the source, instead of running `apt` / `apt-get` commands. Pandoc package available on official
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repositories is an older version and contains several bugs. You can find newer versions at <https://github.com/jgm/pandoc/releases>.
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To generate a live preview of Python & other rst documentation, run the
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following snippet. Note that R & Java API docs must be regenerated
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separately after each change and are not live-updated; see subsequent
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sections for instructions on generating R and Java docs.
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```bash
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cd docs
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make livehtml
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```
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Generate R API rst doc files via:
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```bash
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cd docs
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make rdocs
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```
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---
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**NOTE**
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If you attempt to build the R documentation on an ARM-based platform (Apple silicon M1, M2, etc.)
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you will likely get an error when trying to execute the Docker build process for the make command.
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To address this, set the default docker platform environment variable as follows:
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```bash
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export DOCKER_DEFAULT_PLATFORM=linux/amd64
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```
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---
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Generate Java API rst doc files via:
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```bash
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cd docs
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make javadocs
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```
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Generate API docs for all languages via:
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```bash
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cd docs
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make html
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```
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Generate only the main .rst based documentation:
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```bash
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cd docs
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make rsthtml
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```
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After running these commands, a build folder containing the generated
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HTML will be generated at `build/html`.
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If changing existing Python APIs or adding new APIs under existing
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modules, ensure that references to the modified APIs are updated in
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existing docs under `docs/source`. Note that the Python doc generation
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process will automatically produce updated API docs, but you should
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still audit for usages of the modified APIs in guides and examples.
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If adding a new public Python module, create a corresponding doc file
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for the module under `docs/source/python_api` - [see
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here](https://github.com/mlflow/mlflow/blob/v0.9.1/docs/source/python_api/mlflow.tracking.rst#mlflowtracking)
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for an example.
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> Note: If you are experiencing issues with rstcheck warning of failures in files that you did not modify, try:
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```bash
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cd docs
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make clean; make html
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```
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