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    <title>topic Re: how to make use of a trained network? plz help in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/how-to-make-use-of-a-trained-network-plz-help/m-p/113111#M23339</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;data trito;&lt;/P&gt;&lt;P&gt;input x y z;&lt;/P&gt;&lt;P&gt;datalines;&lt;/P&gt;&lt;P&gt;200 2 0&lt;/P&gt;&lt;P&gt;;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;proc neural data=vivian.hyper dmdbcat=vivian.hyper1 network=vivian.hyper1 graph;&lt;/P&gt;&lt;P&gt;input x y z / level=interval id=i;&lt;/P&gt;&lt;P&gt;target z/ level=interval id=o;&lt;/P&gt;&lt;P&gt;train;&lt;/P&gt;&lt;P&gt;score data= trito out=outf role=score;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;this is how a trained network can be made use of, using score statement. if someone feel it is wrong plz correct.&lt;/P&gt;&lt;P&gt;also plz clear on how to work on the value of objective function if anybody is aware of, thank you.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 26 Aug 2013 09:08:57 GMT</pubDate>
    <dc:creator>vivianclmnz</dc:creator>
    <dc:date>2013-08-26T09:08:57Z</dc:date>
    <item>
      <title>how to make use of a trained network? plz help</title>
      <link>https://communities.sas.com/t5/SAS-Programming/how-to-make-use-of-a-trained-network-plz-help/m-p/113110#M23338</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;a network has been trained using the below statements (if it is correct!)&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;&lt;SPAN style="font-style: inherit; font-size: 10pt; font-family: inherit;"&gt;proc neural data=vivian.hyper dmdbcat=vivian.hyper1 graph;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;arch mlp hidden=3;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;input x y z/ level=interval id=i;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;target acceptability / level=interval id=o;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;train out=vivian.outn outest=vivian.outw outfit=vivian.outf;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;save network=vivian.hypert;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;how do one make use of the trained network above to form a new network, where if one just adds the value of the inputs x y z, will be able to get the target 'val' (being a binary value '1' or '2' / 'yes' or 'no') automatically? (plz correct if the above trained network is wrong)e of&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 16 Aug 2013 05:02:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/how-to-make-use-of-a-trained-network-plz-help/m-p/113110#M23338</guid>
      <dc:creator>vivianclmnz</dc:creator>
      <dc:date>2013-08-16T05:02:15Z</dc:date>
    </item>
    <item>
      <title>Re: how to make use of a trained network? plz help</title>
      <link>https://communities.sas.com/t5/SAS-Programming/how-to-make-use-of-a-trained-network-plz-help/m-p/113111#M23339</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;data trito;&lt;/P&gt;&lt;P&gt;input x y z;&lt;/P&gt;&lt;P&gt;datalines;&lt;/P&gt;&lt;P&gt;200 2 0&lt;/P&gt;&lt;P&gt;;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;proc neural data=vivian.hyper dmdbcat=vivian.hyper1 network=vivian.hyper1 graph;&lt;/P&gt;&lt;P&gt;input x y z / level=interval id=i;&lt;/P&gt;&lt;P&gt;target z/ level=interval id=o;&lt;/P&gt;&lt;P&gt;train;&lt;/P&gt;&lt;P&gt;score data= trito out=outf role=score;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;this is how a trained network can be made use of, using score statement. if someone feel it is wrong plz correct.&lt;/P&gt;&lt;P&gt;also plz clear on how to work on the value of objective function if anybody is aware of, thank you.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 26 Aug 2013 09:08:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/how-to-make-use-of-a-trained-network-plz-help/m-p/113111#M23339</guid>
      <dc:creator>vivianclmnz</dc:creator>
      <dc:date>2013-08-26T09:08:57Z</dc:date>
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