How to Deploy a Decision Tree on RapidMiner Server
Hi,
I have created a decision tree process, trained and tested it in RapidMiner studio and saved the process on a process subfolder on my RapidMiner server. The next thing is I would like to deploy/productionize it on the server and give it an input file(excel) with unseen examples so that it can predicting. I do not know how to do this on RapidMiner Server. Could someone assist please?
Thanks,
Chiko
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Thanks Telcontar120, works perfectly.
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- You'll need to use the "store" operator to store the model that you created in your first project on the server repository.
- Then, you'll also need to store the dataset of records to be scored on the server repository as well.
- Once they are both available on the server, you will write a process using the "retrieve" operator to first retrieve the dataset, (and make sure you do any data ETL or preprocessing), and then retrieve the model.
- Finally you will use "apply model" operator to score the new dataset. That will output the unscored records with the prediction and the confidence from your original model.
Hi there @Chiko!
This should be straightforward, assuming your new records to be scored have all the same data as your original training/testing dataset. Probably the easiest way to accomplish it is as follows:
All of these processes will be written in Studio and then stored and executed on your Server.
Hi there @Chiko!
This should be straightforward, assuming your new records to be scored have all the same data as your original training/testing dataset. Probably the easiest way to accomplish it is as follows:
All of these processes will be written in Studio and then stored and executed on your Server.