We recommend installing HyperGBM with
pip. Installing and using HyperGBM in a Docker container are also possible if you have a Docker environment.
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]
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:
HyperGBM and its dependent packages
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.