About WendyCzika

WendyCzika · ‎11-20-2023

The only thing I can think of is to check that the Input Data node at the start of the flow containing the Decision Tree node does not have the "Rerun" property set to Yes.

WendyCzika · ‎11-20-2023

I wouldn't think it would wipe out your interactive changes unless something is triggering the Decision Tree node to re-run, but you can set the Use Frozen Tree property to Yes to keep your interactive changes when it re-runs. Hope that helps!

WendyCzika · ‎09-27-2023

Please reach out to SAS Technical Support for help with this error https://support.sas.com/en/technical-support.html

WendyCzika · ‎09-07-2023

Yes, the 1st, 3rd, and 4th bullets are all ways of scoring new data where the target is unknown. Hope that helps!

WendyCzika · ‎09-05-2023

There are several ways you can do this, depending on what exactly your needs are. You can use the Score Data node If you know the target in the data you want to score and also want to assess it, you can select Score Holdout Data from the Pipeline Comparison tab. You can download score code from the Pipeline Comparison tab You can register your model to Model Manager, which can be used to deploy and monitor models. The last 3 bullets are covered here in the documentation: https://go.documentation.sas.com/doc/en/capcdc/v_020/vdmmlcdc/vdmmlug/p1ngioiguc5mmtn1e1wh8l5cew1r.htm

WendyCzika · ‎02-17-2023

Can you check that the variable you have assigned the role of Target on the Data tab has a Level other than Interval? If it's an interval target, you need to use Linear Regression instead of Logistic Regression. If that's not the issue, you can right-click on the Logistic Regression node, select Log, and see if there is a more informative error message in there. Hope that helps, Wendy

WendyCzika · ‎11-04-2022

In transaction data used by the Association, Market Basket, Path Analysis, and Time Series nodes in EM, each observation represents a product that a customer has purchased, so multiple observations per customer (which is the ID variable), which is different than the typical structure of data used for predictive modeling.

WendyCzika · ‎09-09-2022

I think so - I know that's true for other actions.

WendyCzika · ‎09-09-2022

Yes I think you can use the nominals= argument in the dlTrain action to indicate which inputs/target are categorical.

WendyCzika · ‎08-10-2022

You should be able to use the SCORE statement to create a data set with the predicted values for the training data: https://go.documentation.sas.com/doc/en/emhpprcref/15.2/emhpprcref_hpforest_syntax08.htm Or you can use the SAVE statement to create an analytic store ("astore") file that allows you to score new data using that generated file in HP4SCORE: https://go.documentation.sas.com/doc/en/emhpprcref/15.2/emhpprcref_hpforest_syntax07.htm and https://go.documentation.sas.com/doc/en/emhpprcref/15.2/emhpprcref_hp4score_toc.htm Hope that helps.

WendyCzika · ‎06-24-2022

Also for future issues in Model Manager, the Decisioning Community might be better suited to help you: https://communities.sas.com/t5/Decisioning/bd-p/decisioning

WendyCzika · ‎06-24-2022

To facilitate getting the information we need in order to debug this problem, can you please work with SAS Technical Support for this issue? https://support.sas.com/en/technical-support.html Thank you!

WendyCzika · ‎04-18-2022

You might find some helpful tips for improving the gradient boosting model here: https://communities.sas.com/t5/SAS-Communities-Library/Quick-tips-for-setting-your-Gradient-Boosting-node-properties-in/ta-p/513600

WendyCzika · ‎04-05-2022

A couple other things that could cause differences: the metadata: make sure it is the same in both EM and Model Studio if the data is big in Model Studio, the Batch Code node is sampling by default. Might have to make adjustments to that. Another option would be to use the Score Code Import node in Model Studio after using a Score node in EM to accumulate all the score code from a flow.

WendyCzika · ‎04-01-2022

I think you want to do this: libname mycas cas caslib=ModelStore; Then use mycas where you have caslib and ModelStore in the proc gradboost/astore calls.

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