Is it possible to create our own machine learning models and use them in training/prediction process

divya_dasdivya_das Member Posts: 11 Newbie
edited June 18 in Help

Hi,

Is it possible to create our own machine learning models and use them in training/prediction process?

In case we are not able to achieve the desired accuracy with the machine learning algorithms that RapidMiner provides, can we go ahead and use some other algorithm (e.g. from open source). Will we have to bundle the new algorithm in an operator and then use it in the training process? Or can we invoke it using the execute program/execute script operator? Or is there some other way to use a new algorithm within the training process?

In the RapidMiner documentation, I saw an example where ‘Execute Python’ operator is being used to build our own ML model.  

Regards,

Divya

 

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  • rfuentealbarfuentealba Moderator, RapidMiner Certified Analyst, Member, University Professor Posts: 361   Unicorn
    One more thing: By "create" I mean you can "use" it. You don't have to implement something from scratch if it's already in Python, for example.
  • divya_dasdivya_das Member Posts: 11 Newbie
    Thank you Rodrigo for the detailed explanation. 

    Regards,
    Divya
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