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https://issues.apache.org/jira/browse/SOLR-2754?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13106683#comment-13106683
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David Mark Nemeskey commented on SOLR-2754:
-------------------------------------------
Robert, I've reviewed the patch. Even though I don't have any experience with
Solr, the code is very clear, well documented and easy to understand. I have
the following observations (or questions, more like):
1. {{LMDirichletSimilarity}} has a mu-less constructor. Maybe we could avoid
defining a constant in two places if we used that? E.g.
{code}
mu = params.getFloat("mu");
...
LMDirichletSimilarity sim = (mu != null) ? new LMDirichletSimilarity(mu)
: new LMDirichletSimilarity();
{code}
Same goes for H3 and Z.
2. I think it is a nice feature of the new framework that the user can create
new basic models, normalizations, distributions, etc. and just plug them in to
{{DFRSimilarity}} or {{IBSimilarity}}. However, these factories can only handle
those that we have defined ourselves. Wouldn't it be good if we could
instantiate custom classes via reflection? It could work similarily as in
Terrier: keep the current code for core models, and use reflection if the user
specifies a (fully specified) classname.
3. I don't know the Lucene/Solr conventions for line length. There are some
rather long lines in IB and DFR, but maybe its not a problem?
> create Solr similarity factories for new ranking algorithms
> -----------------------------------------------------------
>
> Key: SOLR-2754
> URL: https://issues.apache.org/jira/browse/SOLR-2754
> Project: Solr
> Issue Type: New Feature
> Affects Versions: 4.0
> Reporter: Robert Muir
> Assignee: Robert Muir
> Attachments: SOLR-2754.patch
>
>
> To make it easy to use some of the new ranking algorithms, we should add
> factories to solr:
> * for parametric models like LM and BM25 so that parameters can be set from
> schema.xml
> * for framework models like DFR and IB, so that different basic
> models/normalizations/lambdas can be chosen
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