May 4th, 2015

PyData Dallas 2015

RSS icon RSS Category: Uncategorized
Fallback Featured Image

H2O was in attendance last week at PyData in Dallas, Texas. Our CTO, Cliff Click, spoke at PyData about driving H2O from Python to perform feature-engineering, group by, quantiles, and model building with H2O’s GBM, GLM, and Distributed Random Forest.
We met a lot of great people and we are really excited to see the enthusiasm for H2O with Python. We want Python users to be able to use H2O efficiently and smoothly, so it was fantastic to get feedback from the PyData attendees.

H2O is a high-performance modeling engine that makes the transition of models from development to production seamless. H2O supports many popular interfaces, including R, javascript, Spark, and now Python.
The H2O python module is not intended as a replacement for other popular machine learning frameworks such as scikit-learn, pylearn2, and their ilk, but is intended to bring H2O to a wider audience of data and machine learning devotees who work exclusively with Python.
H2O from Python is a tool for rapidly turning over models, doing data munging, and building applications in a fast, scalable environment without any of the mental anguish about parallelism and distribution of work.
Thanks to everyone for coming out!

Nightly H2O-dev Build:


[Install H2O in Python](

Full video of Cliff’s Presentation:

Slides from Cliff’s Presentation:

Citibike demo script:

Leave a Reply

What are we buying today?

Note: this is a guest blog post by Shrinidhi Narasimhan. It’s 2021 and recommendation engines are

July 5, 2021 - by Rohan Rao
The Emergence of Automated Machine Learning in Industry

This post was originally published by K-Tech, Centre of Excellence for Data Science and AI,

June 30, 2021 - by Parul Pandey
What does it take to win a Kaggle competition? Let’s hear it from the winner himself.

In this series of interviews, I present the stories of established Data Scientists and Kaggle

June 14, 2021 - by Parul Pandey
Snowflake on
H2O Integrates with Snowflake Snowpark/Java UDFs: How to better leverage the Snowflake Data Marketplace and deploy In-Database

One of the goals of machine learning is to find unknown predictive features, even hidden

June 9, 2021 - by Eric Gudgion
Getting the best out of’s academic program

“ provides impressively scalable implementations of many of the important machine learning tools in a

May 19, 2021 - by Ana Visneski and Jo-Fai Chow
Regístrese para su prueba gratuita y podrá explorar H2O AI Hybrid Cloud

Recientemente, lanzamos nuestra prueba gratuita de 14 días de H2O AI Hybrid Cloud, lo que

May 17, 2021 - by Ana Visneski and Jo-Fai Chow

Start your 14-day free trial today