Due to recent updates, all users are required to create an Altair One account to login to the RapidMiner community. Click the Register button to create your account using the same email that you have previously used to login to the RapidMiner community. This will ensure that any previously created content will be synced to your Altair One account. Once you login, you will be asked to provide a username that identifies you to other Community users. Email us at Community with questions.
Cross-validation Features
JohnNash2000
Member Posts: 2 Learner I
in Help
Hello, I am currently performing cross-validation (CV), and within this process, "Forward Selection" is performed during training. How can I output the chosen features once CV has completed? I've tried countless solutions including using the "Weights to Data" and "Data to Weights" operators, but neither of these output the chosen features. Does anyone know how I can extract the chosen features from the "Cross Validation" process?
Thank you
Tagged:
0
Best Answer
-
varunm1 Member Posts: 1,207 UnicornHello @JohnNash2000
When CV runs on each fold you might get different features for every iteration as data changes. Now, do you want to store attributes for each iteration? Or the final one where all data undergoes training phase of cross validation process?
If you are looking for each iteration of CV, why not use a store operator with %{execution_count} macro as name in store operator?
If you are looking for something different, please let us know and we will try to resolve it. Also attach your process so that we can take a look.Regards,
Varun
https://www.varunmandalapu.com/Be Safe. Follow precautions and Maintain Social Distancing
5
Answers
Varun
https://www.varunmandalapu.com/
Be Safe. Follow precautions and Maintain Social Distancing