[jira] [Assigned] (FLINK-2108) Add score function for Predictors

2015-06-25 Thread Theodore Vasiloudis (JIRA)

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https://issues.apache.org/jira/browse/FLINK-2108?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Theodore Vasiloudis reassigned FLINK-2108:
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Assignee: Theodore Vasiloudis  (was: Sachin Goel)

 Add score function for Predictors
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 Key: FLINK-2108
 URL: https://issues.apache.org/jira/browse/FLINK-2108
 Project: Flink
  Issue Type: Improvement
  Components: Machine Learning Library
Reporter: Theodore Vasiloudis
Assignee: Theodore Vasiloudis
Priority: Minor
  Labels: ML

 A score function for Predictor implementations should take a DataSet[(I, O)] 
 and an (optional) scoring measure and return a score.
 The DataSet[(I, O)] would probably be the output of the predict function.
 For example in MultipleLinearRegression, we can call predict on a labeled 
 dataset, get back predictions for each item in the data, and then call score 
 with the resulting dataset as an argument and we should get back a score for 
 the prediction quality, such as the R^2 score.



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[jira] [Assigned] (FLINK-2108) Add score function for Predictors

2015-06-02 Thread Sachin Goel (JIRA)

 [ 
https://issues.apache.org/jira/browse/FLINK-2108?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sachin Goel reassigned FLINK-2108:
--

Assignee: Sachin Goel

 Add score function for Predictors
 -

 Key: FLINK-2108
 URL: https://issues.apache.org/jira/browse/FLINK-2108
 Project: Flink
  Issue Type: Improvement
  Components: Machine Learning Library
Reporter: Theodore Vasiloudis
Assignee: Sachin Goel
Priority: Minor
  Labels: ML

 A score function for Predictor implementations should take a DataSet[(I, O)] 
 and an (optional) scoring measure and return a score.
 The DataSet[(I, O)] would probably be the output of the predict function.
 For example in MultipleLinearRegression, we can call predict on a labeled 
 dataset, get back predictions for each item in the data, and then call score 
 with the resulting dataset as an argument and we should get back a score for 
 the prediction quality, such as the R^2 score.



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