# Optional: Install and start the build docker.Ĭompile and run the unit tests of TF-DF with the following command. Want to use the docker option, continue to the next step directly. Start_compile_docker.sh script and continue to the next step. Optional: If you want to use the docker option, run the Third_party/yggdrasil_decision_forests/workspace.bzl. If you want to edit the Yggdrasil code, you can clone the Yggdrasil github and Optional: TensorFlow Decision Forests depends on Instead of installing the dependencies by hands, you can use theĭownload TensorFlow Decision Forests as follows: # Download the source code of TF-DF. Python packages: numpy tensorflow pandas.Python3 -c 'import tensorflow_decision_forests as tfdf print('Found TF-DF v' + tfdf._version_)' Then, check the installation with by running: # Check the version of TensorFlow Decision Forests. Pip3 install tensorflow_decision_forests -upgrade
Install TensorFlow Decision Forests by running: # Install TensorFlow Decision Forests.
