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From "Mike Dusenberry (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SYSTEMML-1679) Add a new threshold utility function
Date Thu, 15 Jun 2017 18:20:00 GMT

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

Mike Dusenberry updated SYSTEMML-1679:
--------------------------------------
    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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