[jira] [Updated] (MINIFICPP-358) Implement TFExtractTopLabels

2018-01-10 Thread marco polo (JIRA)

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https://issues.apache.org/jira/browse/MINIFICPP-358?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

marco polo updated MINIFICPP-358:
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Fix Version/s: 0.4.0

> Implement TFExtractTopLabels
> 
>
> Key: MINIFICPP-358
> URL: https://issues.apache.org/jira/browse/MINIFICPP-358
> Project: NiFi MiNiFi C++
>  Issue Type: Improvement
>Reporter: Andrew Christianson
> Fix For: 0.4.0
>
>
> Add support for interpreting output tensors which represent labels with 
> scores. A list of labels in index order is passed in with attribute tf.type 
> == "labels". The top N labels are extracted into attributes tf.label. and 
> tf.score.. The tf.label.0 attribute represents the highest-scoring label 
> and can be used, for example, to route FlowFiles based on model inferences.



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[jira] [Updated] (MINIFICPP-358) Implement TFExtractTopLabels

2017-12-21 Thread Andrew Christianson (JIRA)

 [ 
https://issues.apache.org/jira/browse/MINIFICPP-358?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Andrew Christianson updated MINIFICPP-358:
--
Description: Add support for interpreting output tensors which represent 
labels with scores. A list of labels in index order is passed in with attribute 
tf.type == "labels". The top N labels are extracted into attributes 
tf.label. and tf.score.. The tf.label.0 attribute represents the 
highest-scoring label and can be used, for example, to route FlowFiles based on 
model inferences.  (was: Add support for interpreting output tensors which 
represent labels with scores. A list of labels in index order is passed in with 
attribute tf.type == "labels". The top N labels are extracted into attributes 
tf.label. and tf.score.. the tf.label.0 attribute represents the 
highest-scoring label and can be used, for example, to route FlowFiles based on 
model inferences.)

> Implement TFExtractTopLabels
> 
>
> Key: MINIFICPP-358
> URL: https://issues.apache.org/jira/browse/MINIFICPP-358
> Project: NiFi MiNiFi C++
>  Issue Type: Improvement
>Reporter: Andrew Christianson
>
> Add support for interpreting output tensors which represent labels with 
> scores. A list of labels in index order is passed in with attribute tf.type 
> == "labels". The top N labels are extracted into attributes tf.label. and 
> tf.score.. The tf.label.0 attribute represents the highest-scoring label 
> and can be used, for example, to route FlowFiles based on model inferences.



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