Great question! Here is what you need to do:
1. Click on the desired Interactive Grouping node.
2. Set the Create Grouping Data property to Yes
3. Rerun the flow.
4. Save the exported grouping data set to a location you can access from SAS Enterprise Miner (outside of the project folder, preferably)
5. Set the new variable(s) to be used (e.g. set their role to Input and/or set the Use property to Yes as needed)
6. Change the Use Frozen Groupings property to No
7. In the Pre-defined Groupings section, change the Import Grouping Data property to Yes
8. Use the Import Data Set property in the Pre-defined Groupings section to specify the grouping data you just saved in step 4 above.
9. Rerun the flow.
SAS Enterprise Miner will use the pre-defined groupings for the variables you worked on previously and it will compute new information for the new variables.
I hope this helps!
Doug
Great question! Here is what you need to do:
1. Click on the desired Interactive Grouping node.
2. Set the Create Grouping Data property to Yes
3. Rerun the flow.
4. Save the exported grouping data set to a location you can access from SAS Enterprise Miner (outside of the project folder, preferably)
5. Set the new variable(s) to be used (e.g. set their role to Input and/or set the Use property to Yes as needed)
6. Change the Use Frozen Groupings property to No
7. In the Pre-defined Groupings section, change the Import Grouping Data property to Yes
8. Use the Import Data Set property in the Pre-defined Groupings section to specify the grouping data you just saved in step 4 above.
9. Rerun the flow.
SAS Enterprise Miner will use the pre-defined groupings for the variables you worked on previously and it will compute new information for the new variables.
I hope this helps!
Doug
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Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.