This document contains tutorials and training materials for H2O-3. For questions or feature requests, visit the H2O community forum at https://community.h2o.ai, or join the "H2O Stream" Google Group:
Tutorials in the master branch are intended to work with the lastest stable version of H2O.
| URL | |
|---|---|
| Training material | https://github.com/h2oai/h2o-tutorials/blob/master/SUMMARY.md |
| Latest stable H2O release | http://h2o.ai/download |
Tutorial versions in named branches are snapshotted for specific events. Scripts should work unchanged for the version of H2O used at that time.
| URL | |
|---|---|
| Training material | https://github.com/h2oai/h2o-tutorials/blob/h2o-world-2015-training/SUMMARY.md |
| Tibshirani-3 H2O release | http://h2o-release.s3.amazonaws.com/h2o/rel-tibshirani/3/index.html |
- Intro to H2O in R
- H2O Grid Search & Model Selection
- H2O Deep Learning in R
- H2O Stacked Ensembles
- h2oEnsemble R package
For most tutorials using python you can install dependent modules to your environment by running the following commands.
# As current user
pip install -r requirements.txt
# As root user
sudo -E pip install -r requirements.txt
Note: If you are behind a corporate proxy you may need to set environment variables for https_proxy accordingly.
# If you are behind a corporate proxy
export https_proxy=https://<user>:<password>@<proxy_server>:<proxy_port>
# As current user
pip install -r requirements.txt
# If you are behind a corporate proxy
export https_proxy=https://<user>:<password>@<proxy_server>:<proxy_port>
# As root user
sudo -E pip install -r requirements.txt