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    <title>topic Re: Model Studio in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Model-Studio/m-p/973990#M11073</link>
    <description>Hello ,&lt;BR /&gt;What's your destination platform / destination environment (where everything is deployed in production)?&lt;BR /&gt;Is your production environment still running SAS 9 ?&lt;BR /&gt;Ciao,&lt;BR /&gt;Koen&lt;BR /&gt;</description>
    <pubDate>Tue, 02 Sep 2025 23:39:06 GMT</pubDate>
    <dc:creator>sbxkoenk</dc:creator>
    <dc:date>2025-09-02T23:39:06Z</dc:date>
    <item>
      <title>Model Studio</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Model-Studio/m-p/973882#M11070</link>
      <description>&lt;P&gt;Hi&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;After developing a model using various techniques in model studio&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am unable to get the base programming language for the bespoke model i.e. scoring codes&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I can get the astore procedure and score data on the cloud but would like to get functionality to get the scoring code downloaded&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Can anyone help ?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 02 Sep 2025 10:58:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Model-Studio/m-p/973882#M11070</guid>
      <dc:creator>Serinac01</dc:creator>
      <dc:date>2025-09-02T10:58:23Z</dc:date>
    </item>
    <item>
      <title>Re: Model Studio</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Model-Studio/m-p/973897#M11071</link>
      <description>&lt;P&gt;Hello ,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P class="xisDoc-paragraph"&gt;&lt;SPAN&gt;There are two types of score code that Model Studio nodes can create: DATA step or analytic store. To generate score code for an entire pipeline, the score code for each node producing score code is appended together into a single DATA step. When the nodes in a pipeline produce multiple analytic stores, or one or more analytic stores and DATA step score code, an EP score code file is created. EP score code represents the score code produced by these pipelines. &lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="xisDoc-paragraph"&gt;&lt;SPAN&gt;(the above is from :&amp;nbsp;&lt;A href="https://go.documentation.sas.com/doc/da/vdmmlcdc/v_028/vdmmladvug/p0avxptqga2me0n0z81v01ky6t9o.htm" target="_blank"&gt;SAS Help Center: Scoring Your Models&lt;/A&gt;&amp;nbsp;... there is also a table that tells you which node produces what.)&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="xisDoc-paragraph"&gt;&lt;SPAN&gt;You can run this code outside Model Studio.&lt;BR /&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="xisDoc-paragraph"&gt;&lt;SPAN&gt;For complex models, modeling logic may not be stored in a human-readable equation or series of rules but, rather, a machine-readable file. Common file type that may represent models include Pickle for Python models; Analytical store (ASTORE) for SAS models; and rdata, rds, or rda for R models. When the model is saved as an object it must be loaded before it can be used to score data.&lt;BR /&gt;(the above is from : &lt;A href="https://blogs.sas.com/content/subconsciousmusings/2025/03/19/training-code-scoring-code-and-what-makes-a-model/" target="_blank"&gt;Training code, scoring code, and what makes a model - The SAS Data Science Blog&lt;/A&gt;)&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="xisDoc-paragraph"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P class="xisDoc-paragraph"&gt;&lt;SPAN&gt;I guess you are looking for simple data step score code (without analytic stores) that you can take anywhere ... but you can't get full data step score code for complex models.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="xisDoc-paragraph"&gt;&lt;SPAN&gt;&lt;BR /&gt;Ciao,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="xisDoc-paragraph"&gt;&lt;SPAN&gt;Koen&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 02 Sep 2025 13:29:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Model-Studio/m-p/973897#M11071</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2025-09-02T13:29:38Z</dc:date>
    </item>
    <item>
      <title>Re: Model Studio</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Model-Studio/m-p/973922#M11072</link>
      <description>Yes 100% looking for more simple data step code that can run independent of sas Viya and rule set or json file etc can be moved to different environments for production</description>
      <pubDate>Tue, 02 Sep 2025 18:12:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Model-Studio/m-p/973922#M11072</guid>
      <dc:creator>Serinac01</dc:creator>
      <dc:date>2025-09-02T18:12:57Z</dc:date>
    </item>
    <item>
      <title>Re: Model Studio</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Model-Studio/m-p/973990#M11073</link>
      <description>Hello ,&lt;BR /&gt;What's your destination platform / destination environment (where everything is deployed in production)?&lt;BR /&gt;Is your production environment still running SAS 9 ?&lt;BR /&gt;Ciao,&lt;BR /&gt;Koen&lt;BR /&gt;</description>
      <pubDate>Tue, 02 Sep 2025 23:39:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Model-Studio/m-p/973990#M11073</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2025-09-02T23:39:06Z</dc:date>
    </item>
    <item>
      <title>Re: Model Studio</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Model-Studio/m-p/974009#M11074</link>
      <description>Yes would need a code to implement in a sort of SAS 9 environment where there is if else statements so the logic can be coded&lt;BR /&gt;&lt;BR /&gt;I used a simple decision tree and downloading that score code still resulted in astore procedure&lt;BR /&gt;</description>
      <pubDate>Wed, 03 Sep 2025 07:58:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Model-Studio/m-p/974009#M11074</guid>
      <dc:creator>Serinac01</dc:creator>
      <dc:date>2025-09-03T07:58:32Z</dc:date>
    </item>
    <item>
      <title>Re: Model Studio</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Model-Studio/m-p/974018#M11075</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/473032"&gt;@Serinac01&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;I used a simple decision tree and downloading that score code still resulted in astore procedure&lt;BR /&gt;&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;Yes , a simple decision tree also has its score code in an astore binary object.&amp;nbsp;&lt;BR /&gt;As confirmed by the table on this page :&amp;nbsp;&lt;A href="https://go.documentation.sas.com/doc/da/vdmmlcdc/v_028/vdmmladvug/p0avxptqga2me0n0z81v01ky6t9o.htm" target="_blank"&gt;SAS Help Center: Scoring Your Models&lt;/A&gt;&lt;BR /&gt;Linear, logistic and quantile regression (a.o.) produce data step score code.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You can make your decision tree with PROC HPSPLIT.&lt;/P&gt;
&lt;P&gt;(the HP-prefix is for High-Performance , it's not a CAS-procedure but it works multi-threaded)&lt;BR /&gt;PROC HPSPLIT&amp;nbsp;&lt;/P&gt;
&lt;DIV class="xisDoc-eDocBody"&gt;
&lt;DIV class="xisDoc-refProc"&gt;
&lt;DIV id="statug.hpsplit.overview_features" class="aa-section"&gt;
&lt;DIV class="xisDoc-listUnordered"&gt;
&lt;UL class="xisDoc-listUnordered" type="disc"&gt;
&lt;LI class="xisDoc-item"&gt;
&lt;P class="xisDoc-paraSimpleFirst"&gt;produces a file that contains SAS DATA step code for scoring new data&lt;/P&gt;
&lt;/LI&gt;
&lt;LI class="xisDoc-item"&gt;
&lt;P class="xisDoc-paraSimpleFirst"&gt;produces a file that contains node rules&lt;/P&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;You can integrate that PROC HPSPLIT in your Model Studio pipeline (SAS code node).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Ciao,&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;</description>
      <pubDate>Wed, 03 Sep 2025 09:14:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Model-Studio/m-p/974018#M11075</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2025-09-03T09:14:07Z</dc:date>
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