You can get a minimal conda installation with Miniconda or get the full installation with Anaconda.
For instructions on how to build a development conda environment, see the cuDF README for more information. Also refer to the cuML README for conda install instructions for cuML.
Build From Source
Checkout the cuDF README or cuML README for from-source build instructions.
Where is Pip?
Refer to our blog post for details on why we no longer support PIP installs.
Run the following command within the Docker container started from the copied Docker command above to launch the notebook server.
NOTE: This will run JupyterLab on your host machine at port 8888.
(rapids) root@container:/rapids/notebooks# bash utils/start-jupyter.sh
Use JupyterLab to Explore the Notebooks
Notebooks can be found in notebooks directory within the container:
/rapids/notebooks/cuml (cuML demos)
/rapids/notebooks/cugraph (cuGraph demos)
/rapids/notebooks/tutorials (DBSCAN tutorial)
/rapids/notebooks/xgboost (XGBoost demo)
See the RAPIDS Container README page for more information about using custom datasets. Docker Hub and NVIDIA GPU Cloud host RAPIDS containers with full list of available tags.