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Difference between models in Operators vs Auto Model
I am new to Rapid Miner and I'm trying to understanding the difference between the models in the Operators folders vs those used in Automodel. I've been experimenting with the Deep Learning Predictive Model. The one in the Operators folder seems to create a model from a dataset much faster than running the same dataset to create a model through Automodel.
Thanks for your help on this.
Thanks for your help on this.
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Best Answer
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MartinLiebig Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,533 RM Data ScientistHi @jsdrew,the techniques used in AutoModel and in Go are very similar, but not 100% the same. You should get very similar results on Go.Let me help to differentiate Studio and Go:What Studio is* A full fledged visual workflow designer (operators). Including dozens of extensions* The ability to connect to a RM AI Hub for deployment, collaboration and scaled out execution* RapidMiner Turbo Prep for a 'guided' way of doing data analytics* RapidMiner AutoModel for automatic modeling.* Software on your laptopWhat Go is:* A SaaS offering for the cloud* An AutoModel capability similar to RM AutoModel* An option to deploy using WS on our cloud* A more guided, explained experience (compared to RM AutoModel).* Way cheaperThe RapidMiner SaaS offering will be extended in the future, so you can expect a lot of new things on the SaaS side. Go is basically the first (corner)stone.I hope this helps?Best,Martin- Sr. Director Data Solutions, Altair RapidMiner -
Dortmund, Germany5
Answers
Dortmund, Germany
I'm not sure if this is the right place for these types of questions, but the sales people I've talked with at Rapidminer so far haven't been able to help out with technical specifics like these.