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    <title>topic Sklearn on aws lambda in VM-Series in the Public Cloud</title>
    <link>https://live.paloaltonetworks.com/t5/vm-series-in-the-public-cloud/sklearn-on-aws-lambda/m-p/198801#M237</link>
    <description>&lt;P&gt;I want to use sklearn on AWS lambda. sklearn has dependencies on scipy(173MB) and numpy(75MB). The combined size of all these packages exceeds &lt;A href="https://mindmajix.com/aws-lambda-training" target="_blank"&gt;AWS Lambda&lt;/A&gt; disk space limit of 256 MB.&lt;/P&gt;&lt;P&gt;How can I use AWS lambda to use sklearn?&lt;/P&gt;</description>
    <pubDate>Mon, 05 Feb 2018 12:34:49 GMT</pubDate>
    <dc:creator>Lianamelissa</dc:creator>
    <dc:date>2018-02-05T12:34:49Z</dc:date>
    <item>
      <title>Sklearn on aws lambda</title>
      <link>https://live.paloaltonetworks.com/t5/vm-series-in-the-public-cloud/sklearn-on-aws-lambda/m-p/198801#M237</link>
      <description>&lt;P&gt;I want to use sklearn on AWS lambda. sklearn has dependencies on scipy(173MB) and numpy(75MB). The combined size of all these packages exceeds &lt;A href="https://mindmajix.com/aws-lambda-training" target="_blank"&gt;AWS Lambda&lt;/A&gt; disk space limit of 256 MB.&lt;/P&gt;&lt;P&gt;How can I use AWS lambda to use sklearn?&lt;/P&gt;</description>
      <pubDate>Mon, 05 Feb 2018 12:34:49 GMT</pubDate>
      <guid>https://live.paloaltonetworks.com/t5/vm-series-in-the-public-cloud/sklearn-on-aws-lambda/m-p/198801#M237</guid>
      <dc:creator>Lianamelissa</dc:creator>
      <dc:date>2018-02-05T12:34:49Z</dc:date>
    </item>
    <item>
      <title>Re: Sklearn on aws lambda</title>
      <link>https://live.paloaltonetworks.com/t5/vm-series-in-the-public-cloud/sklearn-on-aws-lambda/m-p/462775#M1444</link>
      <description>&lt;P&gt;&lt;STRONG&gt;1) installing the modules dynamically&lt;BR /&gt;2) AWS batch&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;1) installing the modules dynamically&lt;BR /&gt;&lt;/STRONG&gt;&lt;/P&gt;&lt;PRE&gt;&lt;SPAN class=""&gt;def&lt;/SPAN&gt; &lt;SPAN class=""&gt;lambdahandler&lt;/SPAN&gt;():
   &lt;SPAN class=""&gt;#install numpy package &lt;/SPAN&gt;
   &lt;SPAN class=""&gt;# numpy code &lt;/SPAN&gt;
   &lt;SPAN class=""&gt;#uninstall numpy package&lt;/SPAN&gt;
   &lt;SPAN class=""&gt;## now install Scipy package &lt;/SPAN&gt;
      &lt;SPAN class=""&gt;# execute scipy code&lt;/SPAN&gt;
&lt;/PRE&gt;&lt;P&gt;or vice versa depends on your code&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;2) using Aws batch&lt;/STRONG&gt;&lt;BR /&gt;This is the best way where you don't have any limitation regarding Memory space. just you need to build a&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;Docker&lt;SPAN&gt;&amp;nbsp; &amp;nbsp;(&lt;A href="https://www.kbstraining.com/aws-training.html" target="_self"&gt;AWS Training&lt;/A&gt;)&amp;nbsp;&lt;/SPAN&gt;image and need to write an all required packages and libraries inside the&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;requirement.txt&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;file.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 02 Feb 2022 12:00:22 GMT</pubDate>
      <guid>https://live.paloaltonetworks.com/t5/vm-series-in-the-public-cloud/sklearn-on-aws-lambda/m-p/462775#M1444</guid>
      <dc:creator>johnson267</dc:creator>
      <dc:date>2022-02-02T12:00:22Z</dc:date>
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