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articles/machine-learning/data-science-virtual-machine/reference-ubuntu-vm.md

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H2O is a fast, in-memory, distributed machine learning and predictive analytics platform. A Python package is installed in both the root and py35 Anaconda environments. An R package is also installed.
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To open H2O from the command line, run `java -jar /dsvm/tools/h2o/current/h2o.jar`. You can configure various available[command-line options](http://docs.h2o.ai/h2o/latest-stable/h2o-docs/starting-h2o.html#from-the-command-line). Browse to the Flow web UI to `http://localhost:54321` to get started. SJupyterHub offers sample notebooks.
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To open H2O from the command line, run `java -jar /dsvm/tools/h2o/current/h2o.jar`. You can configure various available[command-line options](http://docs.h2o.ai/h2o/latest-stable/h2o-docs/starting-h2o.html#from-the-command-line). Browse to the Flow web UI to `http://localhost:54321` to get started. JupyterHub offers sample notebooks.
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### TensorFlow
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## Next steps
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For more questions, consider creating a [support ticket](https://azure.microsoft.com/support/create-ticket/)
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For more questions, consider creating a [support ticket](https://azure.microsoft.com/support/create-ticket/)

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