.. sampledoc documentation master file, created by
   sphinx-quickstart on Mon Apr 25 15:24:53 2016.
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========
Overview
========

H2O Driverless AI is an artificial intelligence (AI) platform for automatic machine learning. Driverless AI automates some of the most difficult data science and machine learning workflows such as feature engineering, model validation, model tuning, model selection and model deployment. It aims to achieve highest predictive accuracy, comparable to expert data scientists, but in much shorter time thanks to end-to-end automation. Driverless AI also offers automatic visualizations and machine learning interpretability (MLI). Especially in regulated industries, model transparency and explanation are just as important as predictive performance. Modeling pipelines (feature engineering and models) are exported (in full fidelity, without approximations) both as Python modules and as pure Java standalone scoring artifacts.

Driverless AI runs on commodity hardware. It was also specifically designed to take advantage of graphical processing units (GPUs), including multi-GPU workstations and servers such as `IBM's Power9-GPU AC922 server <https://www.ibm.com/us-en/marketplace/power-systems-ac922>`__ and the `NVIDIA DGX-1 <https://www.nvidia.com/en-us/data-center/dgx-1/>`__ for order-of-magnitude faster training.

This document describes how to install and use Driverless AI. For more information about Driverless AI, please see https://www.h2o.ai/products/h2o-driverless-ai/.

For a third-party review, please see https://www.infoworld.com/article/3236048/machine-learning/review-h2oai-automates-machine-learning.html.


**Have Questions?**

If you have questions about using Driverless AI, post them on Stack Overflow using the driverless-ai tag at http://stackoverflow.com/questions/tagged/driverless-ai.


.. toctree::
   :maxdepth: 2
   :caption: Release Notes

   release_notes

.. toctree::
   :maxdepth: 2
   :caption: Overview

   why_dai
   key-features

.. toctree::
   :maxdepth: 2
   :caption: Installation and Upgrade

   installing

.. toctree::
   :maxdepth: 2
   :caption: Using Driverless AI

   launching
   datasets
   running-experiment
   interpreting
   viewing-explanations
   score-on-another-dataset
   transform-another-dataset
   python-mojo-pipelines

.. toctree::
   :maxdepth: 2
   :caption: What's Happening?

   whats-happening-in-dai
   transformations
   internal-validation
   time-series
   nlp

.. toctree::
   :maxdepth: 2
   :caption: Configuration Options

   config_toml
   setting-environment-variables
   connectors
   authentication
   notifications

.. toctree::
   :maxdepth: 2
   :caption: Logs

   logging

.. toctree::
   :maxdepth: 2
   :caption: Frequently Asked Questions

   faq

.. toctree::
   :maxdepth: 2
   :caption: Appendices

   python_client

.. toctree::
   :maxdepth: 2
   :caption: References

   references