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I am using Watson Studio Model Builder to build a Linear Regression model.

  1. Does it perform any feature evaluation/extraction ? Is there a way to look up this information ? I see some hyperparameters associated with the estimators, but nothing on features. I see something called
  2. Is there a way to track/get the training/test data for a deployed model after it has been trained. I read up on lineage but did not see anything there.
  3. When using WML to store and deploy a scikit-learn linear regression model, I get back learning_configuration_url, evaluation_metrics_url and feedback_url. Are these accessible using the REST API outside of WML ?

Thank you !

U-L
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1 Answers1

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I would recommend checking out AutoAI, the graphical tool in Watson Studio automatically analyzes your data and generates candidate model pipelines customized for your predictive modeling problem and would be a perfect solution for building the Linear Regression Model you had in mind. To learn more check out our documentation: https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/autoai-build-from-sample.html?audience=wdp and demos: https://www.ibm.com/demos/collection/IBM-Watson-Studio-AutoAI/?lc=en about this exciting new feature.