About WendyCzika

WendyCzika · ‎10-16-2020

This should work correctly in the latest version, SAS Enterprise Miner 15.2. The only work-around I can think for the previous versions is to expand your data by the frequency variable so you don't need the FREQ statement in PROC HPFOREST.

WendyCzika · ‎09-18-2020

Question How can I color the leaves of the tree in the Tree Diagram in the results of the Decision Tree node in Model Studio by node purity (probability of event) or correct classification proportion? Answer By default, for a class target, the leaves of the tree in the Tree Diagram display an embedded histogram of the target level percentages (first image). To have the leaves instead colored by either the probability of event (purity) or the proportion correctly classified, you can un-check the property “Display embedded bar charts in tree diagram” under Tree Diagram Options in the Decision Tree node. The leaves can then be colored by the selection in the “Class target node color” property as in the second image.

WendyCzika · ‎09-15-2020

Here is a SAS note with some workarounds to try: https://support.sas.com/kb/58/380.html

WendyCzika · ‎09-08-2020

You can use the File Import node to import files of other types: Input Data Source Extension dBASE 5.0, IV, III+, and III files .dbf Stata .dta Microsoft Excel .xls, .xlsx SAS JMP files .jmp Paradox .DB files .db SPSS .sav Lotus .wk1, .wk3, .wk4 Tab-Delimited values .txt Comma-Separated values .csv Delimited values (user defined) .dlm

WendyCzika · ‎09-01-2020

It's best if you contact SAS Technical Support for help with this issue: https://support.sas.com/en/technical-support/submit-a-support-request.html

WendyCzika · ‎08-07-2020

Yes, that is all correct!

WendyCzika · ‎07-29-2020

You could use a Score Data node after the SAS Code node in the same pipeline to score a new data set.

WendyCzika · ‎07-29-2020

Are you saying that in your saved data, you aren't seeing the _SVDDSCORE_ column populated with values? It should be applying the analytic store with the EP score code to create that column, though you won't see the code to create it explicitly like for the DATA step score code you see above.

WendyCzika · ‎06-23-2020

Hi there - are you on SAS 9 (Enterprise Miner) or SAS Viya?

WendyCzika · ‎05-13-2020

The various assessment measures where you would use Selection Depth are documented here in the chapter on the Model Comparison node: https://go.documentation.sas.com/?docsetId=emref&docsetVersion=15.1&docsetTarget=p01jgc9rmzsg37n1lfncp67t0unm.htm&locale=en#n06jncp1dkerydn134rb66la3vt2 and the Selection Depth property is described at the bottom of this section (or you can just search the chapter on the Model Comparison node for "selection depth") - essentially it is the decile you want to use for lift and gain-type statistics when comparing your models. https://go.documentation.sas.com/?docsetId=emref&docsetVersion=15.1&docsetTarget=p01jgc9rmzsg37n1lfncp67t0unm.htm&locale=en#n0dh4rt3dp7bijn1m4m8to5u0063

WendyCzika · ‎04-29-2020

I don't think that macro can be used with SAS Viya models since there is no SAS Metadata Server in SAS Viya. This would only work in SAS 9.4 as far as I know.

WendyCzika · ‎04-21-2020

Doesn't look like there is an option like "ALL" for Nvars, but you could either set it to a very high value or like you said, use a macro variable to get the number of inputs, something like: %let nclass = %sysfunc(countw(&charvars. &flgvars.)); %let ninterval = %sysfunc(countw(&numvars.)); %let totnvars = %eval(&nclass + &ninterval); proc treeboost... importance nvars=&totnvars...; ... run;

WendyCzika · ‎04-21-2020

Though the live version of SAS Global Forum 2020 couldn't take place, I want to virtually share with you the paper and recording of the presentation that I was planning on giving on Automation in SAS® Visual Data Mining and Machine Learning. You can view the paper that has details on the various automation that is available through the Model Studio interface for machine learning pipelines, including automated data preprocessing, feature engineering, and hyperparameter tuning in supervised learning algorithms. There's also full pipeline automation available in SAS Model Studio to dynamically and automatically create a machine learning pipeline for you that is optimal for your data. It can also be invoked via a REST API that you can embed into your own applications. In addition, watch this 15-minute video that gives highlights from the paper on the very latest automation features in the 8.5 release of SAS Visual Data Mining and Machine Learning: And finally, if you want to see some example code for using the Machine Learning Pipeline Automation REST API, refer to our GitHub example.

WendyCzika · ‎04-20-2020

It's dividing those values by 105 instead of 100 to get the percentages. 42.8% = 45/105 ...

WendyCzika · ‎04-17-2020

Are you able to open the Results of the Decision Tree node and view the SAS log in there to see if there are more details about the error?

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