Open Alternatives to Google Prediction API

A recent announcement by Google about the Google Prediction API sounded very interesting. It could be useful for a project that is coming up, and would probably do a better job than some custom code I was considering.

However, there is some vendor lock-in. Google retain the trained model, and could later choose to overcharge me for it. It occurred to me that there are probably open-source equivalents, if I was willing to host the training myself (I am) and live without开发者_如何学C their ability to throw hardware at the problem at a moment's notice.

Last time I looked at 3rd Party computer training code was many years ago, and there were a lot of details that needed to be carefully considered and customised for your project. Google appear to have hidden those decisions, and take care of them for you. To me, this is still indistinguishable from magic, but I would like to hear whether others can do the same.

So my question is:

What alternatives to Google Prediction API exist which:

• categorise data with supervised machine learning,
• can be easily configured (or don't need configuration) for different kinds and scales of data-sets?
• are open-source and self-hosted (or at the very least, provide you with a royalty free use of your model, without a dependence on a third party)

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Maybe Apache Mahout?

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PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.

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Have been looking recently at tools like google prediction API, one of the first ones I got put on to was Weka machine learning tool which could be worth checking out for anyone looking.

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I'm not sure if it's relevant, but directededge seams to be doing exactly that :)

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There is good free for use service Yandex Predictor with 100000/day request quota. It works for text only, supports several languages and spell correction.

You need to get free API Key, then you can use simple RESTful API. Api support JSON, XML and JSONP as output.

Unfortunately I cannot find documentation in English. You can use Google Translate.

I can translate docs if there is some demand.