Re:Microsoft Officially Launches Azure Machine Learning Plat...
by elliott34 on Wednesday February 18, 2015 @08:39PM
(#9071992)
Checkout BigML.com, it has a ton of visualization
As far as creating a model and deploying it to production, I cannot think of anything simpler and more wonderful to use than bigml. Outputs the decision trees /randomforests (via python api) in actual textual code. Hook that up to a Flask API and you've got your predictive web service.
0xdata.com is another one for more r/python users, can output gradient boosting models to straight up java objects (although that feature is pricey last time I looked into it), which of course is java so it's going to be pretty fast.
Really feeling for everyone out there still using PMML...
As far as creating a model and deploying it to production, I cannot think of anything simpler and more wonderful to use than bigml. Outputs the decision trees /randomforests (via python api) in actual textual code. Hook that up to a Flask API and you've got your predictive web service.
0xdata.com is another one for more r/python users, can output gradient boosting models to straight up java objects (although that feature is pricey last time I looked into it), which of course is java so it's going to be pretty fast.
Really feeling for everyone out there still using PMML...