Thursday, February 14, 2013

An Early Example

This is some alpha sample code from a user perspective on how to work with ProtoML:
This code setups a basic dataflow from going from input data to machines and then scoring. ProtoML is made to be a high-level framework to glue together different data analysis libraries. This is done through constructing nodes that act as containers for these libraries' functions and then connecting the nodes together to create a dataflow network. The nodes themselves are also relatively easy to construct, this will be featured in a later post. The ones shown above are scikit-learn container nodes.

 This example used a built-in dataset. Diogo is currently working data handling and feature transformation and that will be talked about in a blog post very soon.

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