I have a trail version of data robot. I have the following questions.
1)After building model in DataRobot, can I convert into either pmml or pickle an score it externally ?
2)How to create the final features used by the final model if I need to score the model externally ?
3)I did read about DataRobot prime where you can download the model as jar file. How do I do that using the trial version ?
I've responded to your comment touching all of these topics similarly in your other thread here:
Thanks for the response!
I have further few questions.
1)Can I prevent autofeature creation while creating models in Data Robot ? ie use features as it is and not create extra new features as part of feature engineering
2)How do I run single model instead of automl.Say I want to run a xgboost and not any other model. How do I do that ? Is it possible ?
3)Do you have examples of java jar files as part of model export. Can you please give me any examples of documents regarding this ?
4)Regarding scoring again ie "Standalone scoring engine" as in DataRobot document wiki, Can you please point or give me an example ?
5)Regarding scoring again ie "Spark scoring as in DataRobot document wiki, Can you please point or give me an example ?
What are the differences between 3,4,5 ? We are trying to understand DataRobot and this will help us understanding this more.
No problem PK.
I have few follow up questions
1)Regarding downloading the model as a jar file and scoring outside , if the a particular feature
was created while creating the model using automatic feature creation say feature1= feature2*sqrt(feature3) ,
would this new feature be created automatically when using the jar file while scoring ?
2)Can you please give an example of python scoring too or point ot some documentation on this ?
3)Were any performance issues noted when using java jar files ? This is because when we use blended models or ensembles then
would not jar file size increase ?What's the maximum size of the jar file that would be created ?
We are looking and evaluating Data Robot and trying to understand its nuances and hence these questions .
It might be worthwhile setting up a call with your team and one of our account teams to better understand your needs and how we can partner up to solve them together.