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At least, by making it a for-pay service, the likelihood of Google just shutting it down in the middle of the night is lessened (although still present). Howeve
by drats 15y ago
At least, by making it a for-pay service, the likelihood of Google just shutting it down in the middle of the night is lessened (although still present). However, anyone competent enough to be passing data to an API can pass data to one of the many open source ML libraries that are available for many languages. I don't see the point.
- zachg 15y agoHere is the 'point': * Training models can be rather computationally expensive. Especially if your business requires training new models very often, this can be prohibitively expensive to do in ec2, whereas the prediction API solves that for you. * Just hooking up to an open source ML library isn't the whole story. You still need to do backtesting on different algorithms and do the parameter tuning, aka you need some machine learning know-how. The Prediction API does all this for you automatically and probably uses a much larger set of algorithms than you would bother to test yourself.