"Combining RapidMiner with Python and R"

mlg1988mlg1988 Member Posts: 4 Contributor I
edited May 23 in Help
Hello everyone,

I am exploring RapidMiner, and I saw I can use Python and R in it.
I would love to get feedback from others that combine these three tools,
what is your typical workflow?

This is how I think about it.

R = academic / statistics
Python = practical ML / software engineering
RapidMiner = visual workflow / integration platform

One simple rule would be, if you can do it in RM then do it,
and if something has to be programmed then add Python / R operators in RM.

Thank you
Tagged:
Pavithra_RaoDocMusher

Best Answer

Answers

  • varunm1varunm1 Member Posts: 460   Unicorn
    Hi @mlg1988

    I use to do some preprocessing on files that need some libraries in Python extension and apply deep learning in RM.
    Regards,
    Varun
    mlg1988lionelderkrikordbabrauskaite
  • kaymankayman Member Posts: 318   Unicorn
    Not much to add, also for me Python allows me to cover the bits and pieces not available out of the box, or where python alternatives tend to be a bit faster on occasion. I've recently had a lot of fun dissecting pdf manuals and while the out of the box option in RM was a little 'mehh', being able to offload part of my workflow to python and back made it quite easy to do in the end. 

    Other stuff we use it for is dedicated API access,  web crawling if the standard options don't do the job again, and disk / network input/output things. Also some python libraries (like Vader for sentiment analysis to just name one) make a nice extension to the tool set.
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