<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Ordinal Predictor in SAS VDMML Regression task in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Ordinal-Predictor-in-SAS-VDMML-Regression-task/m-p/790689#M9034</link>
    <description>&lt;P&gt;Hello!&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Let us assume that we have an ordinal predictor and we want to run a linear or a logistc regression in VDMML. How does SAS VDMML handles the ordinal predictor e.g. as interval or using a dummy coding e.g. stairwise coding?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks in advance,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Andreas&lt;/P&gt;</description>
    <pubDate>Tue, 18 Jan 2022 14:26:55 GMT</pubDate>
    <dc:creator>andreas_zaras</dc:creator>
    <dc:date>2022-01-18T14:26:55Z</dc:date>
    <item>
      <title>Ordinal Predictor in SAS VDMML Regression task</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Ordinal-Predictor-in-SAS-VDMML-Regression-task/m-p/790689#M9034</link>
      <description>&lt;P&gt;Hello!&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Let us assume that we have an ordinal predictor and we want to run a linear or a logistc regression in VDMML. How does SAS VDMML handles the ordinal predictor e.g. as interval or using a dummy coding e.g. stairwise coding?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks in advance,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Andreas&lt;/P&gt;</description>
      <pubDate>Tue, 18 Jan 2022 14:26:55 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Ordinal-Predictor-in-SAS-VDMML-Regression-task/m-p/790689#M9034</guid>
      <dc:creator>andreas_zaras</dc:creator>
      <dc:date>2022-01-18T14:26:55Z</dc:date>
    </item>
    <item>
      <title>Re: Ordinal Predictor in SAS VDMML Regression task</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Ordinal-Predictor-in-SAS-VDMML-Regression-task/m-p/790780#M9035</link>
      <description>&lt;P&gt;Hello &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/3045"&gt;@andreas_zaras&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Any idea which procedures you are talking about?&lt;/P&gt;
&lt;UL class="lia-list-style-type-disc"&gt;
&lt;LI&gt;REGSELECT for Linear Regression?&lt;/LI&gt;
&lt;LI&gt;LOGSELECT for Logistic Regression?&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;An ordinal predictor should be put in the CLASS statement, such that it is considered as a discrete | categorical input. It should NOT be entered into the model as an interval-scaled input!&lt;/P&gt;
&lt;P&gt;For ordinal inputs, SAS supports&amp;nbsp;&lt;SPAN&gt;bathtub coding and&amp;nbsp;THERMOMETER (&lt;/SPAN&gt;&lt;SPAN style="font-family: inherit;"&gt;cumulative parameterization)&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;coding. I think bathtub coding is only supported when constructing the input layer in a neural network.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;I do not know about "stairwise coding" but you can make a little macro for it.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Cheers,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Koen&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 18 Jan 2022 23:04:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Ordinal-Predictor-in-SAS-VDMML-Regression-task/m-p/790780#M9035</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2022-01-18T23:04:03Z</dc:date>
    </item>
    <item>
      <title>Re: Ordinal Predictor in SAS VDMML Regression task</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Ordinal-Predictor-in-SAS-VDMML-Regression-task/m-p/793720#M9050</link>
      <description>Any details about bathtub and thermometer encoding? I mean how this is done using summy variables (i guess?)</description>
      <pubDate>Tue, 01 Feb 2022 10:34:34 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Ordinal-Predictor-in-SAS-VDMML-Regression-task/m-p/793720#M9050</guid>
      <dc:creator>andreas_zaras</dc:creator>
      <dc:date>2022-02-01T10:34:34Z</dc:date>
    </item>
    <item>
      <title>Re: Ordinal Predictor in SAS VDMML Regression task</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Ordinal-Predictor-in-SAS-VDMML-Regression-task/m-p/793723#M9051</link>
      <description>&lt;P&gt;From the SAS 9.4 M7 help :&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="sbxkoenk_0-1643711964849.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/68079iAED78606A72C8669/image-size/medium?v=v2&amp;amp;px=400" role="button" title="sbxkoenk_0-1643711964849.png" alt="sbxkoenk_0-1643711964849.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For bathtub coding, see here :&lt;/P&gt;
&lt;P&gt;SAS® Enterprise Miner™ 15.2: Reference Help&lt;BR /&gt;Neural Network Node: Reference&lt;BR /&gt;&lt;A href="https://go.documentation.sas.com/doc/en/emref/15.2/p0zbgj1tu3h1uhn1x6regixbdg7v.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/emref/15.2/p0zbgj1tu3h1uhn1x6regixbdg7v.htm&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;CTRL-F : bathtub coding&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Cheers,&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;</description>
      <pubDate>Tue, 01 Feb 2022 10:43:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Ordinal-Predictor-in-SAS-VDMML-Regression-task/m-p/793723#M9051</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2022-02-01T10:43:25Z</dc:date>
    </item>
  </channel>
</rss>

