Treat – a DSL for Machine Learning

In addition to the DSL for textual entities, Treat provides a DSL to create and solve machine learning problems.

See the Wiki for an example task: given a set of sentences retrieved from a Wikipedia page, determine which ones are non-informative based on punctuation count and word count.

https://github.com/louismullie/treat/wiki/Quick-Tour

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