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  <channel>
    <title>WendyCzika Tracker</title>
    <link>https://communities.sas.com/kntur85557/tracker</link>
    <description>WendyCzika Tracker</description>
    <pubDate>Sat, 09 May 2026 22:23:05 GMT</pubDate>
    <dc:date>2026-05-09T22:23:05Z</dc:date>
    <item>
      <title>Re: SAS Miner - how to do model comparison without losing interactive decision tree settings</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/SAS-Miner-how-to-do-model-comparison-without-losing-interactive/m-p/903959#M10661</link>
      <description>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.</description>
      <pubDate>Mon, 20 Nov 2023 16:21:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/SAS-Miner-how-to-do-model-comparison-without-losing-interactive/m-p/903959#M10661</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2023-11-20T16:21:58Z</dc:date>
    </item>
    <item>
      <title>Re: SAS Miner - how to do model comparison without losing interactive decision tree settings</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/SAS-Miner-how-to-do-model-comparison-without-losing-interactive/m-p/903902#M10659</link>
      <description>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!</description>
      <pubDate>Mon, 20 Nov 2023 13:19:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/SAS-Miner-how-to-do-model-comparison-without-losing-interactive/m-p/903902#M10659</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2023-11-20T13:19:03Z</dc:date>
    </item>
    <item>
      <title>Re: error 1012 will running neural network classification</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/error-1012-will-running-neural-network-classification/m-p/896124#M10613</link>
      <description>&lt;P&gt;Please reach out to SAS Technical Support for help with this error&lt;/P&gt;
&lt;P&gt;&lt;A href="https://support.sas.com/en/technical-support.html" target="_blank"&gt;https://support.sas.com/en/technical-support.html&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 27 Sep 2023 18:25:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/error-1012-will-running-neural-network-classification/m-p/896124#M10613</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2023-09-27T18:25:47Z</dc:date>
    </item>
    <item>
      <title>Re: Deploying/using machine learning model in SAS viya on new dataset to generate predictions</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Deploying-using-machine-learning-model-in-SAS-viya-on-new/m-p/893148#M10589</link>
      <description>&lt;P&gt;Yes, the 1st, 3rd, and 4th bullets are all ways of scoring new data where the target is unknown.&amp;nbsp; Hope that helps!&lt;/P&gt;</description>
      <pubDate>Thu, 07 Sep 2023 12:40:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Deploying-using-machine-learning-model-in-SAS-viya-on-new/m-p/893148#M10589</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2023-09-07T12:40:58Z</dc:date>
    </item>
    <item>
      <title>Re: Deploying/using machine learning model in SAS viya on new dataset to generate predictions</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Deploying-using-machine-learning-model-in-SAS-viya-on-new/m-p/892744#M10586</link>
      <description>&lt;P&gt;There are several ways you can do this, depending on what exactly your needs are.&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;You can use the &lt;A href="https://go.documentation.sas.com/doc/en/capcdc/v_020/vdmmlcdc/vdmmlref/p1dnp87b28kg26n1iq7n4ad9dyzy.htm" target="_self"&gt;Score Data&lt;/A&gt; node&lt;/LI&gt;
&lt;LI&gt;If you know the target in the data you want to score and also want to assess it, you can select&lt;STRONG&gt; Score Holdout Data&lt;/STRONG&gt; from the Pipeline Comparison tab.&amp;nbsp;&amp;nbsp;&lt;/LI&gt;
&lt;LI&gt;You can &lt;STRONG&gt;download&lt;/STRONG&gt; score code from the Pipeline Comparison tab&lt;/LI&gt;
&lt;LI&gt;You can &lt;STRONG&gt;register&lt;/STRONG&gt; your model to Model Manager, which can be used to deploy and monitor models.&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;The last 3 bullets are covered here in the documentation:&amp;nbsp;&lt;A href="https://go.documentation.sas.com/doc/en/capcdc/v_020/vdmmlcdc/vdmmlug/p1ngioiguc5mmtn1e1wh8l5cew1r.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/capcdc/v_020/vdmmlcdc/vdmmlug/p1ngioiguc5mmtn1e1wh8l5cew1r.htm&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 05 Sep 2023 13:58:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Deploying-using-machine-learning-model-in-SAS-viya-on-new/m-p/892744#M10586</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2023-09-05T13:58:23Z</dc:date>
    </item>
    <item>
      <title>Re: Lesson 1.2 Demo Running Pipeline Issue for Starters Template</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Lesson-1-2-Demo-Running-Pipeline-Issue-for-Starters-Template/m-p/859467#M10436</link>
      <description>&lt;P&gt;Can you check that the variable you have assigned the role of Target on the Data tab has a Level other than Interval?&amp;nbsp; If it's an interval target, you need to use Linear Regression instead of Logistic Regression.&amp;nbsp; 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.&lt;/P&gt;
&lt;P&gt;Hope that helps,&lt;/P&gt;
&lt;P&gt;Wendy&lt;/P&gt;</description>
      <pubDate>Fri, 17 Feb 2023 20:13:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Lesson-1-2-Demo-Running-Pipeline-Issue-for-Starters-Template/m-p/859467#M10436</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2023-02-17T20:13:30Z</dc:date>
    </item>
    <item>
      <title>Re: What does it mean by setting the data role to transaction?</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/What-does-it-mean-by-setting-the-data-role-to-transaction/m-p/842508#M10371</link>
      <description>&lt;P&gt;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.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 04 Nov 2022 14:11:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/What-does-it-mean-by-setting-the-data-role-to-transaction/m-p/842508#M10371</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2022-11-04T14:11:49Z</dc:date>
    </item>
    <item>
      <title>Re: Encoding categorical features in dataset</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Encoding-categorical-features-in-dataset/m-p/832527#M10297</link>
      <description>I think so - I know that's true for other actions.</description>
      <pubDate>Fri, 09 Sep 2022 16:10:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Encoding-categorical-features-in-dataset/m-p/832527#M10297</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2022-09-09T16:10:43Z</dc:date>
    </item>
    <item>
      <title>Re: Encoding categorical features in dataset</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Encoding-categorical-features-in-dataset/m-p/832520#M10294</link>
      <description>Yes I think you can use the nominals= argument in the dlTrain action to indicate which inputs/target are categorical.</description>
      <pubDate>Fri, 09 Sep 2022 15:29:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Encoding-categorical-features-in-dataset/m-p/832520#M10294</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2022-09-09T15:29:03Z</dc:date>
    </item>
    <item>
      <title>Re: Prediction After Random Forest</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Prediction-After-Random-Forest/m-p/828153#M10254</link>
      <description>&lt;P&gt;You should be able to use the SCORE statement to create a data set with the predicted values for the training data:&amp;nbsp;&lt;A href="https://go.documentation.sas.com/doc/en/emhpprcref/15.2/emhpprcref_hpforest_syntax08.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/emhpprcref/15.2/emhpprcref_hpforest_syntax08.htm&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;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:&amp;nbsp;&lt;A href="https://go.documentation.sas.com/doc/en/emhpprcref/15.2/emhpprcref_hpforest_syntax07.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/emhpprcref/15.2/emhpprcref_hpforest_syntax07.htm&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;and&amp;nbsp;&lt;A href="https://go.documentation.sas.com/doc/en/emhpprcref/15.2/emhpprcref_hp4score_toc.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/emhpprcref/15.2/emhpprcref_hp4score_toc.htm&lt;/A&gt;&amp;nbsp;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Hope that helps.&lt;/P&gt;</description>
      <pubDate>Wed, 10 Aug 2022 19:27:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Prediction-After-Random-Forest/m-p/828153#M10254</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2022-08-10T19:27:50Z</dc:date>
    </item>
    <item>
      <title>Re: SPK Import Error for Model Manager</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/SPK-Import-Error-for-Model-Manager/m-p/820271#M10194</link>
      <description>Also for future issues in Model Manager, the Decisioning Community might be better suited to help you: &lt;A href="https://communities.sas.com/t5/Decisioning/bd-p/decisioning" target="_blank"&gt;https://communities.sas.com/t5/Decisioning/bd-p/decisioning&lt;/A&gt;&lt;BR /&gt;</description>
      <pubDate>Fri, 24 Jun 2022 15:36:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/SPK-Import-Error-for-Model-Manager/m-p/820271#M10194</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2022-06-24T15:36:54Z</dc:date>
    </item>
    <item>
      <title>Re: autoneural.INVALIDARGUMENT_err</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/autoneural-INVALIDARGUMENT-err/m-p/820268#M10193</link>
      <description>&lt;P&gt;To facilitate getting the information we need in order to debug this problem, can you please work with SAS Technical Support for this issue?&amp;nbsp;&lt;A href="https://support.sas.com/en/technical-support.html" target="_blank"&gt;https://support.sas.com/en/technical-support.html&lt;/A&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thank you!&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 24 Jun 2022 15:29:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/autoneural-INVALIDARGUMENT-err/m-p/820268#M10193</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2022-06-24T15:29:24Z</dc:date>
    </item>
    <item>
      <title>Re: Missing value of False Negative in Classification Table - Gradient Boosting Model - SAS EM</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Missing-value-of-False-Negative-in-Classification-Table-Gradient/m-p/808395#M9167</link>
      <description>&lt;P&gt;You might find some helpful tips for improving the gradient boosting model here:&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://communities.sas.com/t5/SAS-Communities-Library/Quick-tips-for-setting-your-Gradient-Boosting-node-properties-in/ta-p/513600" target="_blank"&gt;https://communities.sas.com/t5/SAS-Communities-Library/Quick-tips-for-setting-your-Gradient-Boosting-node-properties-in/ta-p/513600&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 18 Apr 2022 18:58:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Missing-value-of-False-Negative-in-Classification-Table-Gradient/m-p/808395#M9167</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2022-04-18T18:58:25Z</dc:date>
    </item>
    <item>
      <title>Re: How to import SAS diagram in SAS Enterprise Miner into SAS Model Studio</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/How-to-import-SAS-diagram-in-SAS-Enterprise-Miner-into-SAS-Model/m-p/806037#M9156</link>
      <description>&lt;P&gt;A couple other things that could cause differences:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;the metadata: make sure it is the same in both EM and Model Studio&lt;/LI&gt;
&lt;LI&gt;if the data is big in Model Studio, the Batch Code node is sampling by default. Might have to make adjustments to that.&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;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.&lt;/P&gt;</description>
      <pubDate>Tue, 05 Apr 2022 12:27:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/How-to-import-SAS-diagram-in-SAS-Enterprise-Miner-into-SAS-Model/m-p/806037#M9156</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2022-04-05T12:27:01Z</dc:date>
    </item>
    <item>
      <title>Re: How to score data using a modelStore model with code?</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/How-to-score-data-using-a-modelStore-model-with-code/m-p/805540#M9149</link>
      <description>&lt;P&gt;I think you want to do this:&lt;/P&gt;
&lt;PRE class="xis-codeFragment"&gt;libname mycas cas caslib=ModelStore;&lt;/PRE&gt;
&lt;P&gt;Then use &lt;STRONG&gt;mycas&lt;/STRONG&gt; where you have &lt;EM&gt;caslib&lt;/EM&gt; and &lt;EM&gt;ModelStore&lt;/EM&gt; in the proc gradboost/astore calls.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 01 Apr 2022 17:02:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/How-to-score-data-using-a-modelStore-model-with-code/m-p/805540#M9149</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2022-04-01T17:02:22Z</dc:date>
    </item>
    <item>
      <title>Re: How to import SAS diagram in SAS Enterprise Miner into SAS Model Studio</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/How-to-import-SAS-diagram-in-SAS-Enterprise-Miner-into-SAS-Model/m-p/805492#M9147</link>
      <description>&lt;P&gt;You could be getting different results due to the partitioning of the data.&amp;nbsp; Did you partition in EM?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 01 Apr 2022 12:50:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/How-to-import-SAS-diagram-in-SAS-Enterprise-Miner-into-SAS-Model/m-p/805492#M9147</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2022-04-01T12:50:57Z</dc:date>
    </item>
    <item>
      <title>Re: Import a xml into SAS Visual Data Mining and Machine Learning</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Import-a-xml-into-SAS-Visual-Data-Mining-and-Machine-Learning/m-p/805387#M9146</link>
      <description>&lt;P&gt;My guess is that it's related to partitioning of the data.&amp;nbsp; In EM, did you partition your data?&lt;/P&gt;</description>
      <pubDate>Thu, 31 Mar 2022 19:11:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Import-a-xml-into-SAS-Visual-Data-Mining-and-Machine-Learning/m-p/805387#M9146</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2022-03-31T19:11:48Z</dc:date>
    </item>
    <item>
      <title>Re: Cross validation autotuning and separate test set in Model Studio</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Cross-validation-autotuning-and-separate-test-set-in-Model/m-p/796041#M9075</link>
      <description>&lt;P&gt;Do you know what version of SAS Viya you are on?&amp;nbsp; It should be working in Viya 3.5 and on.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 14 Feb 2022 13:32:04 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Cross-validation-autotuning-and-separate-test-set-in-Model/m-p/796041#M9075</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2022-02-14T13:32:04Z</dc:date>
    </item>
    <item>
      <title>Re: Cross validation autotuning and separate test set in Model Studio</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Cross-validation-autotuning-and-separate-test-set-in-Model/m-p/795754#M9069</link>
      <description>&lt;P&gt;Actually that doc isn't completely correct.&amp;nbsp; If you only create training and test partitions (set the validation percentage to 0), then if you select K-fold cross validation for the Validation method, it will actually use that. So give that a try, and hope that helps!&lt;/P&gt;</description>
      <pubDate>Fri, 11 Feb 2022 19:00:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Cross-validation-autotuning-and-separate-test-set-in-Model/m-p/795754#M9069</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2022-02-11T19:00:50Z</dc:date>
    </item>
    <item>
      <title>Re: GBM model into Model Manager via PMML file</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/GBM-model-into-Model-Manager-via-PMML-file/m-p/764559#M8858</link>
      <description>&lt;P&gt;Looking here under Supported PMML Models (almost at the end), I don't see GBM listed:&lt;/P&gt;
&lt;P&gt;&lt;A href="https://go.documentation.sas.com/api/docsets/mdlmgrug/15.2/content/mdlmgrug.pdf" target="_blank"&gt;https://go.documentation.sas.com/api/docsets/mdlmgrug/15.2/content/mdlmgrug.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 27 Aug 2021 19:50:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/GBM-model-into-Model-Manager-via-PMML-file/m-p/764559#M8858</guid>
      <dc:creator>WendyCzika</dc:creator>
      <dc:date>2021-08-27T19:50:59Z</dc:date>
    </item>
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