I have a project where I use multiple secondary data sets with automated feature discovery and time aware modeling to build the model. I need to use R to generate predictions and deploy the model. How do use the API to send multiple data sets to the model to generate predictions?
In previous projects, I would be able to send a data frame and use Predict() to generate predictions but that was only one data set. I now have three data sets with time aware modeling. How do I set that up?
Here is the answer from one of my colleague
If you are on 2.18 a custom script using the
DataRobotPOST helper method is advised. So you can still make predictions in a feature discovery project by heating the raw API
Hi firstname.lastname@example.org ,
To expand on what my colleague @dalilaB mentioned, the functionality you're requesting is not yet in the R client. This is being worked on as we speak. Alternatives to this would be either specifying secondary_dataset_config_id in upload_dataset using the python client or using the public API endpoints directly.