Im planning on building a proof of concept for text classification as a service with python, flask and sklearn. Itll be another portion of the pipeline for my mark sweep project, and I think its the most interesting part. I plan to support the following as a first iteration: Support for preprocessed features front end for model comparison, i.e. ROC-AUC curves support for sklearns big data-esque out of core learning / online learning. Also wanting to support json, csv, and various other dbs. Anyone interesting in helping out learning about machine learning and data processing? (This is essentially a restful access to sklearn) The model will be as follows: PUT dataset or db connection to train your model, GET ACCESS_TOKEN and a api endpoint. POST string to that endpoint, with your TOKEN and it will return the class. Im also looking for people who are familiar with building web applications in flask and dealing with users and security. (as i know none of that) Anyone interesting in helping out learning about machine learning?
Posted on: Mon, 24 Nov 2014 22:12:04 +0000
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