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H2O + TensorFlow on AWS GPU
H2O + TensorFlow on AWS GPU
by Venkatesh Yadav July 13, 2016 Deep Learning Tutorials

TensorFlow on AWS GPU instance In this tutorial, we show how to setup TensorFlow on AWS GPU instance and run H2O Tensorflow Deep learning demo. Pre-requisites: To get started, request an AWS EC2 instance with GPU support. We used a single g2.2xlarge instance running Ubuntu 14.04.To setup TensorFlow with GPU support, following softwares should be […]

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H2O GBM Tuning Tutorial for R
H2O GBM Tuning Tutorial for R
by Arno Candel June 16, 2016 GBM R Technical Tutorials

In this tutorial, we show how to build a well-tuned H2O GBM model for a supervised classification task. We specifically don’t focus on feature engineering and use a small dataset to allow you to reproduce these results in a few minutes on a laptop. This script can be directly transferred to datasets that are hundreds […]

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Error for Random Search
Hyperparameter Optimization in H2O: Grid Search, Random Search and the Future
by h2oai June 16, 2016 R-Bloggers Technical Tutorials

“Good, better, best. Never let it rest. ‘Til your good is better and your better is best.” – St. Jerome tl;dr H2O now has random hyperparameter search with time- and metric-based early stopping. Bergstra and Bengio[1] write on p. 281: Compared with neural networks configured by a pure grid search, we find that random search […]

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Spam Detection with Sparkling Water and Spark Machine Learning Pipelines
Spam Detection with Sparkling Water and Spark Machine Learning Pipelines
by Jakub Hava June 15, 2016 Sparkling Water Technical Tutorials

This short post presents the “ham or spam” demo, which has already been posted earlier by Michal Malohlava, using our new API in latest Sparkling Water for Spark 1.6 and earlier versions, unifying Spark and H2O Machine Learning pipelines. It shows how to create a simple Spark Machine Learning pipeline and a model based on […]

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