Using Your Acquired Dataset Generated by a Classification or Regression Predictive Scenario
Depending on how you want to use your Classification or Regression Predictive Scenario, you need to keep different information in your generated dataset containing predictions.
Consuming your generated dataset in a story
To consume your generated dataset in a story, you need to keep some information:
- The application dataset influencers, if these influencers are not available from another source.
- The predictions
- The key influencersNoteIf you have specified the key influencers during the training of your predictive model, they are automatically added.
You can then consume the generated dataset directly in a story:
From the side navigation, choose Create a New Story. As soon as a change
will be done in the generated dataset, the story will be automatically updated.
. For more information on working with stories, you can refer to the
topic Note
When you upload the generated dataset in a story, it implicitly becomes an
"embedded" model.For more information, refer to the related link Blending Data.
Combining existing data with the generated predictions and consuming them in a story
To combine existing data with your predictions, you need to keep the following information in
your generated dataset:
- The predictions
- The key influencer(s)NoteIf you have specified key influencers during the training of your predictive model, they are automatically added.
Thanks to the key influencer(s), you can blend the predictions with other data sources, in the context of a story.
For more information, refer to the related link Blending Data.
Importing the generated dataset in SAP Analytics Cloud models
You can first use the generated dataset to create an SAP Analytics Cloud model and then
consume it in a story.
Note
You will then be able to easily share this model with
other users.For more information on working with models, you can refer to the chapters called Create a New Model and Set Up Model Preferences.