Installing HyperGBM¶
We recommend installing HyperGBM with pip
. Installing and using HyperGBM in a Docker container are also possible if you have a Docker environment.
pip¶
Python version 3.6 or above is necessary before installing HyperGBM. Here is how to use pip to install HyperGBM:
pip install hypergbm
Note that HyperGBM and its necessary packages will be installed at this time. If you want to install HyperGBM along with dependent packages such as shap
, the following way is recommended:
pip install hypergbm[all]
Docker¶
It is possible to use HyperGBM in a Docker container. To do this, users can install HyperGBM with pip
in the Dockerfile. We also publish a mirror image in Docker Hub which can be downloaded directly and includes the following components:
Python3.7
HyperGBM and its dependent packages
JupyterLab
Download the mirror image:
docker pull datacanvas/hypergbm
Use the mirror image:
docker run -ti -e NotebookToken="your-token" -p 8888:8888 datacanvas/hypergbm
Then one can visit http://<your-ip>:8888
in the browser and type in the default token to start.