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

2017-09-08 Thread Glenn Weidner (JIRA) 

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

Glenn Weidner updated SYSTEMML-1679:

Fix Version/s: (was: SystemML 1.0)
   SystemML 0.15

> Add a new threshold utility function
> 
>
> Key: SYSTEMML-1679
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1679
> Project: SystemML
>  Issue Type: New Feature
>Reporter: Mike Dusenberry
>Assignee: Fei Hu
> Fix For: SystemML 0.15
>
>
> 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.
> We should also add a test case in {{nn/test/test.dml}}.



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

2017-06-28 Thread Mike Dusenberry (JIRA) 

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

Mike Dusenberry updated SYSTEMML-1679:
--
Issue Type: New Feature  (was: Sub-task)
Parent: (was: SYSTEMML-618)

> Add a new threshold utility function
> 
>
> Key: SYSTEMML-1679
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1679
> Project: SystemML
>  Issue Type: New Feature
>Reporter: Mike Dusenberry
>Assignee: Fei Hu
>  Labels: SYSTEMML-618
> Fix For: SystemML 1.0
>
>
> 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.
> We should also add a test case in {{nn/test/test.dml}}.



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

2017-06-15 Thread Mike Dusenberry (JIRA) 

 [ 
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.

We should also add a test case in {{nn/test/test.dml}}.

  was: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.


> 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.
> We should also add a test case in {{nn/test/test.dml}}.



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

2017-06-15 Thread Mike Dusenberry (JIRA) 

 [ 
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 (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.)

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

2017-06-15 Thread Mike Dusenberry (JIRA) 

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

Mike Dusenberry updated SYSTEMML-1679:
--
Summary: Add a new threshold utility function  (was: Add a new threshold 
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 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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[jira] [Updated] (SYSTEMML-1679) Add a new threshold utility function

2017-06-15 Thread Mike Dusenberry (JIRA) 

 [ 
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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