[jira] [Updated] (SYSTEMML-1679) Add a new threshold utility function

["Mike Dusenberry (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SYSTEMML-1679?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mike Dusenberry updated SYSTEMML-1679:
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    Description: We should add a new {{threshold}} utility function (in {{nn/util.dml}}) that accepts a matrix {{X}} and a threshold parameter {{thresh}} and returns an indicator matrix {{out}} with values in {{{0, 1}}} depending on whether or not the values in {{X}} are above {{thresh}}.  We could use this, for example, for determining the predicted class in a binary classification problem given the output of a sigmoid layer.  (was: We should add a new {{threshold}} utility function that accepts a matrix {{X}} and a threshold parameter {{thresh}} and returns an indicator matrix {{out}} with values in {{{0, 1}}} depending on whether or not the values in {{X}} are above {{thresh}}.  We could use this, for example, for determining the predicted class in a binary classification problem given the output of a sigmoid layer.)

> Add a new threshold utility function
> ------------------------------------
>
>                 Key: SYSTEMML-1679
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1679
>             Project: SystemML
>          Issue Type: Sub-task
>            Reporter: Mike Dusenberry
>            Assignee: Mike Dusenberry
>
> We should add a new {{threshold}} utility function (in {{nn/util.dml}}) that accepts a matrix {{X}} and a threshold parameter {{thresh}} and returns an indicator matrix {{out}} with values in {{{0, 1}}} depending on whether or not the values in {{X}} are above {{thresh}}.  We could use this, for example, for determining the predicted class in a binary classification problem given the output of a sigmoid layer.



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