Gergő Törcsvári created LUCENE-5699:
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Summary: Lucene classification score calculation normalize and
return lists
Key: LUCENE-5699
URL: https://issues.apache.org/jira/browse/LUCENE-5699
Project: Lucene - Core
Issue Type: Sub-task
Components: modules/classification
Reporter: Gergő Törcsvári
Now the classifiers can return only the "best matching" classes. If somebody
want it to use more complex tasks he need to modify these classes for get
second and third results too. If it is possible to return a list and it is not
a lot resource why we dont do that? (We iterate a list so also.)
The Bayes classifier get too small return values, and there were a bug with the
zero floats. It was fixed with logarithmic. It would be nice to scale the class
scores sum vlue to one, and then we coud compare two documents return score and
relevance. (If we dont do this the wordcount in the test documents affected the
result score.)
With bulletpoints:
* In the Bayes classification normalized score values, and return with result
lists.
* In the KNN classifier possibility to return a result list.
* Make the ClassificationResult Comparable for list sorting.
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