Install TensorFlow Ranking

There are several ways to set up your environment to use the TensorFlow Ranking library.

• The easiest way to learn and use TensorFlow Ranking is run any of the tutorials Google Colab. Select the link at the top of the Quickstart tutorial).
• To use the Ranking library on a local machine, install the tensorflow_ranking pip package.
• If you have a unique machine configuration, you can build the package from source, using the Build from source instructions.

Install TensorFlow Ranking using pip

Install using pip.

pipinstall--upgradetensorflow_ranking

Build from source

You can also install from source, which requires the Bazel build system.

1. Install Bazel, Git and Pip.

   sudoapt-getupdate
   sudoapt-getinstallbazelgitpython3-pippython3-venv

2. Clone the TensorFlow Ranking repository.

   gitclonehttps://github.com/tensorflow/ranking.git

3. Build TensorFlow Ranking wheel file and store them in a /tmp/ranking_pip folder.

   cdranking# folder cloned in Step 2.
   bazelbuild//tensorflow_ranking/tools/pip_package:build_pip_package
   bazel-bin/tensorflow_ranking/tools/pip_package/build_pip_package\
   /tmp/ranking_pip

4. Activate a venv environment.

   python3-mvenv--system-site-packagesvenv
   sourcevenv/bin/activate

5. Install the wheel package in your venv environment.

   pip install /tmp/ranking_pip/tensorflow_ranking*.whl
   

6. Optionally, run all TensorFlow Ranking tests.

   bazel test //tensorflow_ranking/...
   

For more information about installing Python, pip, TensorFlow, and working with Python virtual environments, see Install TensorFlow with pip.