subject:"\[jira\] \[Updated\] \(SOLR\-8542\) Integrate Learning to Rank into Solr"

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2017-01-13 Thread Christine Poerschke (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Christine Poerschke updated SOLR-8542:
--
Description: 
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously [presented by the authors at Lucene/Solr Revolution 
2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].



Solr Reference Guide documentation:
* https://cwiki.apache.org/confluence/display/solr/Learning+To+Rank

Source code and README files:
* 
[solr/contrib/ltr|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr]
* 
[solr/contrib/ltr/example|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/example]

  was:
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously [presented by the authors at Lucene/Solr Revolution 
2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].



Solr Reference Guide documentation:
* https://cwiki.apache.org/confluence/display/solr/Result+Reranking

Source code and README files:
* 
[solr/contrib/ltr|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr]
* 
[solr/contrib/ltr/example|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/example]


> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
> Fix For: master (7.0), 6.4
>
> Attachments: SOLR-8542-branch_5x.patch, SOLR-8542.patch, 
> SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously [presented by the authors at Lucene/Solr 
> Revolution 
> 2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].
> 
> Solr Reference Guide documentation:
> * https://cwiki.apache.org/confluence/display/solr/Learning+To+Rank
> Source code and README files:
> * 
> [solr/contrib/ltr|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr]
> * 
> [solr/contrib/ltr/example|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/example]



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2017-01-06 Thread Christine Poerschke (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Christine Poerschke updated SOLR-8542:
--
Description: 
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously [presented by the authors at Lucene/Solr Revolution 
2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].



Solr Reference Guide documentation:
* https://cwiki.apache.org/confluence/display/solr/Result+Reranking

Source code and README files:
* 
[solr/contrib/ltr|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr]
* 
[solr/contrib/ltr/example|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/example]

  was:
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously [presented by the authors at Lucene/Solr Revolution 
2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].

---

Solr Reference Guide documentation:
* https://cwiki.apache.org/confluence/display/solr/Result+Reranking

Source code and README files:
* 
[solr/contrib/ltr|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr]
* 
[solr/contrib/ltr/example|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/example]


> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
> Fix For: master (7.0), 6.4
>
> Attachments: SOLR-8542-branch_5x.patch, SOLR-8542-trunk.patch, 
> SOLR-8542.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously [presented by the authors at Lucene/Solr 
> Revolution 
> 2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].
> 
> Solr Reference Guide documentation:
> * https://cwiki.apache.org/confluence/display/solr/Result+Reranking
> Source code and README files:
> * 
> [solr/contrib/ltr|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr]
> * 
> [solr/contrib/ltr/example|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/example]



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2017-01-06 Thread Christine Poerschke (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Christine Poerschke updated SOLR-8542:
--
Description: 
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously [presented by the authors at Lucene/Solr Revolution 
2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].

---

Solr Reference Guide documentation:
* https://cwiki.apache.org/confluence/display/solr/Result+Reranking

Source code and README files:
* 
[solr/contrib/ltr|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr]
* 
[solr/contrib/ltr/example|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/example]

  was:
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously [presented by the authors at Lucene/Solr Revolution 
2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].

[Read through the 
README|https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-release/solr/contrib/ltr]
 for a tutorial on using the plugin, in addition to how to train your own 
external model.



> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
> Fix For: master (7.0), 6.4
>
> Attachments: SOLR-8542-branch_5x.patch, SOLR-8542-trunk.patch, 
> SOLR-8542.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously [presented by the authors at Lucene/Solr 
> Revolution 
> 2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].
> ---
> Solr Reference Guide documentation:
> * https://cwiki.apache.org/confluence/display/solr/Result+Reranking
> Source code and README files:
> * 
> [solr/contrib/ltr|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr]
> * 
> [solr/contrib/ltr/example|https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/example]



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2017-01-05 Thread Christine Poerschke (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Christine Poerschke updated SOLR-8542:
--
Fix Version/s: 6.4
   master (7.0)

> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
> Fix For: master (7.0), 6.4
>
> Attachments: SOLR-8542-branch_5x.patch, SOLR-8542-trunk.patch, 
> SOLR-8542.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously [presented by the authors at Lucene/Solr 
> Revolution 
> 2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].
> [Read through the 
> README|https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-release/solr/contrib/ltr]
>  for a tutorial on using the plugin, in addition to how to train your own 
> external model.



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2017-01-05 Thread Christine Poerschke (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Christine Poerschke updated SOLR-8542:
--
Priority: Major  (was: Minor)

> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
> Fix For: master (7.0), 6.4
>
> Attachments: SOLR-8542-branch_5x.patch, SOLR-8542-trunk.patch, 
> SOLR-8542.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously [presented by the authors at Lucene/Solr 
> Revolution 
> 2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].
> [Read through the 
> README|https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-release/solr/contrib/ltr]
>  for a tutorial on using the plugin, in addition to how to train your own 
> external model.



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-11-01 Thread Christine Poerschke (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Christine Poerschke updated SOLR-8542:
--
Attachment: SOLR-8542.patch

Attaching patch generated as diff between 'master' and 
https://github.com/apache/lucene-solr/tree/jira/solr-8542-v2 - master commit to 
follow shortly.

> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
>Priority: Minor
> Attachments: SOLR-8542-branch_5x.patch, SOLR-8542-trunk.patch, 
> SOLR-8542.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously [presented by the authors at Lucene/Solr 
> Revolution 
> 2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].
> [Read through the 
> README|https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-release/solr/contrib/ltr]
>  for a tutorial on using the plugin, in addition to how to train your own 
> external model.



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-10-06 Thread Joshua Pantony (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Joshua Pantony updated SOLR-8542:
-
Description: 
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously [presented by the authors at Lucene/Solr Revolution 
2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].

[Read through the 
README|https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-release/solr/contrib/ltr]
 for a tutorial on using the plugin, in addition to how to train your own 
external model.


  was:
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously presented by the authors at Lucene/Solr Revolution 2015 
( 
http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
 ).
The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
David Grohmann and Diego Ceccarelli.

[Read through the 
README|https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-release/solr/contrib/ltr]
 for a tutorial on using the plugin, in addition to how to train your own 
external model.



> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
>Priority: Minor
> Attachments: SOLR-8542-branch_5x.patch, SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously [presented by the authors at Lucene/Solr 
> Revolution 
> 2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].
> [Read through the 
> README|https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-release/solr/contrib/ltr]
>  for a tutorial on using the plugin, in addition to how to train your own 
> external model.



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-06-20 Thread Joshua Pantony (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Joshua Pantony updated SOLR-8542:
-
Description: 
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously presented by the authors at Lucene/Solr Revolution 2015 
( 
http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
 ).
The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
David Grohmann and Diego Ceccarelli.

[Read through the 
README|https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-release/solr/contrib/ltr]
 for a tutorial on using the plugin, in addition to how to train your own 
external model.


  was:
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously presented by the authors at Lucene/Solr Revolution 2015 
( 
http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
 ).

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
David Grohmann and Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached 
documentation as a github MD file, but are happy to convert to a desired format.


h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with 
the techproducts example please follow these steps

h4. 1. compile solr and the examples 

cd solr
ant dist
ant example

h4. 2. run the example

./bin/solr -e techproducts 

h4. 3. stop it and install the plugin:
   
./bin/solr stop
mkdir example/techproducts/solr/techproducts/lib
cp build/contrib/ltr/lucene-ltr-6.0.0-SNAPSHOT.jar 
example/techproducts/solr/techproducts/lib/
cp contrib/ltr/example/solrconfig.xml 
example/techproducts/solr/techproducts/conf/

h4. 4. run the example again

./bin/solr -e techproducts

h4. 5. index some features and a model

curl -XPUT 'http://localhost:8983/solr/techproducts/schema/fstore'  
--data-binary "@./contrib/ltr/example/techproducts-features.json"  -H 
'Content-type:application/json'
curl -XPUT 'http://localhost:8983/solr/techproducts/schema/mstore'  
--data-binary "@./contrib/ltr/example/techproducts-model.json"  -H 
'Content-type:application/json'

h4. 6. have fun !

*access to the default feature store*
http://localhost:8983/solr/techproducts/schema/fstore/_DEFAULT_ 
*access to the model store*
http://localhost:8983/solr/techproducts/schema/mstore
*perform a query using the model, and retrieve the features*
http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true



> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
>Priority: Minor
> Attachments: SOLR-8542-branch_5x.patch, SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously presented by the authors at Lucene/Solr 
> Revolution 2015 ( 
> http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
>  ).
> The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
> David Grohmann and Diego Ceccarelli.
> [Read through the 
> README|https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-release/solr/contrib/ltr]
>  for a tutorial on using the plugin, in addition to how to train your own 
> external model.



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-05-27 Thread Diego Ceccarelli (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Diego Ceccarelli updated SOLR-8542:
---
Attachment: (was: README.md)

> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
>Priority: Minor
> Attachments: SOLR-8542-branch_5x.patch, SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously presented by the authors at Lucene/Solr 
> Revolution 2015 ( 
> http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
>  ).
> The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
> David Grohmann and Diego Ceccarelli.
> Any chance this could make it into a 5x release? We've also attached 
> documentation as a github MD file, but are happy to convert to a desired 
> format.
> h3. Test the plugin with solr/example/techproducts in 6 steps
> Solr provides some simple example of indices. In order to test the plugin 
> with 
> the techproducts example please follow these steps
> h4. 1. compile solr and the examples 
> cd solr
> ant dist
> ant example
> h4. 2. run the example
> ./bin/solr -e techproducts 
> h4. 3. stop it and install the plugin:
>
> ./bin/solr stop
> mkdir example/techproducts/solr/techproducts/lib
> cp build/contrib/ltr/lucene-ltr-6.0.0-SNAPSHOT.jar 
> example/techproducts/solr/techproducts/lib/
> cp contrib/ltr/example/solrconfig.xml 
> example/techproducts/solr/techproducts/conf/
> h4. 4. run the example again
> 
> ./bin/solr -e techproducts
> h4. 5. index some features and a model
> curl -XPUT 'http://localhost:8983/solr/techproducts/schema/fstore'  
> --data-binary "@./contrib/ltr/example/techproducts-features.json"  -H 
> 'Content-type:application/json'
> curl -XPUT 'http://localhost:8983/solr/techproducts/schema/mstore'  
> --data-binary "@./contrib/ltr/example/techproducts-model.json"  -H 
> 'Content-type:application/json'
> h4. 6. have fun !
> *access to the default feature store*
> http://localhost:8983/solr/techproducts/schema/fstore/_DEFAULT_ 
> *access to the model store*
> http://localhost:8983/solr/techproducts/schema/mstore
> *perform a query using the model, and retrieve the features*
> http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-05-27 Thread Michael Nilsson (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Michael Nilsson updated SOLR-8542:
--
Attachment: (was: README.md)

> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
>Priority: Minor
> Attachments: README.md, SOLR-8542-branch_5x.patch, 
> SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously presented by the authors at Lucene/Solr 
> Revolution 2015 ( 
> http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
>  ).
> The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
> David Grohmann and Diego Ceccarelli.
> Any chance this could make it into a 5x release? We've also attached 
> documentation as a github MD file, but are happy to convert to a desired 
> format.
> h3. Test the plugin with solr/example/techproducts in 6 steps
> Solr provides some simple example of indices. In order to test the plugin 
> with 
> the techproducts example please follow these steps
> h4. 1. compile solr and the examples 
> cd solr
> ant dist
> ant example
> h4. 2. run the example
> ./bin/solr -e techproducts 
> h4. 3. stop it and install the plugin:
>
> ./bin/solr stop
> mkdir example/techproducts/solr/techproducts/lib
> cp build/contrib/ltr/lucene-ltr-6.0.0-SNAPSHOT.jar 
> example/techproducts/solr/techproducts/lib/
> cp contrib/ltr/example/solrconfig.xml 
> example/techproducts/solr/techproducts/conf/
> h4. 4. run the example again
> 
> ./bin/solr -e techproducts
> h4. 5. index some features and a model
> curl -XPUT 'http://localhost:8983/solr/techproducts/schema/fstore'  
> --data-binary "@./contrib/ltr/example/techproducts-features.json"  -H 
> 'Content-type:application/json'
> curl -XPUT 'http://localhost:8983/solr/techproducts/schema/mstore'  
> --data-binary "@./contrib/ltr/example/techproducts-model.json"  -H 
> 'Content-type:application/json'
> h4. 6. have fun !
> *access to the default feature store*
> http://localhost:8983/solr/techproducts/schema/fstore/_DEFAULT_ 
> *access to the model store*
> http://localhost:8983/solr/techproducts/schema/mstore
> *perform a query using the model, and retrieve the features*
> http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-20 Thread Joshua Pantony (JIRA)

[
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joshua Pantony updated SOLR-8542:
-
Description:
This is a ticket to integrate learning to rank machine learning models into
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features
directly inside Solr for use in training a machine learned model. You can then
deploy that model to Solr and use it to rerank your top X search results. This
concept was previously presented by the authors at Lucene/Solr Revolution 2015
(
http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
).

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson,
David Grohmann and Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

h4. 1. compile solr and the examples

cd solr
ant dist
ant example

h4. 2. run the example

./bin/solr -e techproducts

h4. 3. stop it and install the plugin:

./bin/solr stop
mkdir example/techproducts/solr/techproducts/lib
cp build/contrib/ltr/lucene-ltr-6.0.0-SNAPSHOT.jar
example/techproducts/solr/techproducts/lib/
cp contrib/ltr/example/solrconfig.xml
example/techproducts/solr/techproducts/conf/

h4. 4. run the example again

./bin/solr -e techproducts

h4. 5. index some features and a model

curl -XPUT 'http://localhost:8983/solr/techproducts/schema/fstore'
--data-binary "@./contrib/ltr/example/techproducts-features.json" -H
'Content-type:application/json'
curl -XPUT 'http://localhost:8983/solr/techproducts/schema/mstore'
--data-binary "@./contrib/ltr/example/techproducts-model.json" -H
'Content-type:application/json'

h4. 6. have fun !

*access to the default feature store*
http://localhost:8983/solr/techproducts/schema/fstore/_DEFAULT_
*access to the model store*
http://localhost:8983/solr/techproducts/schema/mstore
*perform a query using the model, and retrieve the features*
http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true

was:
This is a ticket to integrate learning to rank machine learning models into
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features
directly inside Solr for use in training a machine learned model. You can then
deploy that model to Solr and use it to rerank your top X search results. This
concept was previously presented by the authors at Lucene/Solr Revolution 2015
(
http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
).

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

h4. 1. compile solr and the examples

cd solr
ant dist
ant example

h4. 2. run the example

./bin/solr -e techproducts

h4. 3. stop it and install the plugin:

h4. 4. run the example again

./bin/solr -e techproducts

h4. 5. index some features and a model

h4. 6. have fun !

> Integrate Learning to Rank into Solr
>
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
> Issue Type: New Feature
>

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-15 Thread Joshua Pantony (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Joshua Pantony updated SOLR-8542:
-
Description: 
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously presented by the authors at Lucene/Solr Revolution 2015 
( 
http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
 ).

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and 
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached 
documentation as a github MD file, but are happy to convert to a desired format.


## Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with 
the techproducts example please follow these steps

1. compile solr and the examples 

cd solr
ant dist
ant example

2. run the example

   ./bin/solr -e techproducts 

3. stop it and install the plugin:
   
   ./bin/solr stop
   #create the lib folder 
   mkdir example/techproducts/solr/techproducts/lib
   # install the plugin in the lib folder
   cp build/contrib/ltr/lucene-ltr-6.0.0-SNAPSHOT.jar 
example/techproducts/solr/techproducts/lib/
   # replace the original solrconfig with one importing all the ltr componenet
   cp contrib/ltr/example/solrconfig.xml 
example/techproducts/solr/techproducts/conf/

4. run the example again

   ./bin/solr -e techproducts

5. index some features and a model

   curl -XPUT 'http://localhost:8983/solr/techproducts/schema/fstore'  
--data-binary "@./contrib/ltr/example/techproducts-features.json"  -H 
'Content-type:application/json'
   curl -XPUT 'http://localhost:8983/solr/techproducts/schema/mstore'  
--data-binary "@./contrib/ltr/example/techproducts-model.json"  -H 
'Content-type:application/json'

6. have fun !

   # access to the default feature store 
   http://localhost:8983/solr/techproducts/schema/fstore/_DEFAULT_ 
   # access to the model store
   http://localhost:8983/solr/techproducts/schema/mstore
   # perform a query using the model, and retrieve the features 
   
http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true


  was:
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously presented by the authors at Lucene/Solr Revolution 2015 
( 
http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
 ).

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and 
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached 
documentation as a github MD file, but are happy to convert to a desired format.



> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
>Priority: Minor
> Attachments: README.md, SOLR-8542-branch_5x.patch, 
> SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously presented by the authors at Lucene/Solr 
> Revolution 2015 ( 
> http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
>  ).
> The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
> and Diego Ceccarelli.
> Any chance this could make it into a 5x release? We've also attached 
> documentation as a github MD file, but are happy to convert to a desired 
> format.
> ## Test the plugin with solr/example/techproducts in 6 steps
> Solr provides some simple example of indices. In order to test the plugin 
> with 
> the techproducts example please follow these steps
> 1. compile solr and the examples 
> cd solr
> ant dist
> ant example
> 2. run the example
>./bin/solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-15 Thread Joshua Pantony (JIRA)

[
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

h4. 1. compile solr and the examples

cd solr
ant dist
ant example

h4. 2. run the example

./bin/solr -e techproducts

h4. 3. stop it and install the plugin:

./bin/solr stop

mkdir example/techproducts/solr/techproducts/lib

cp build/contrib/ltr/lucene-ltr-6.0.0-SNAPSHOT.jar
example/techproducts/solr/techproducts/lib/

cp contrib/ltr/example/solrconfig.xml
example/techproducts/solr/techproducts/conf/

h4. 4. run the example again

./bin/solr -e techproducts

h4. 5. index some features and a model

h4. 6. have fun !

http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

1. compile solr and the examples

cd solr
ant dist
ant example

2. run the example

./bin/solr -e techproducts

3. stop it and install the plugin:

./bin/solr stop
#create the lib folder
mkdir example/techproducts/solr/techproducts/lib
# install the plugin in the lib folder
cp build/contrib/ltr/lucene-ltr-6.0.0-SNAPSHOT.jar
example/techproducts/solr/techproducts/lib/
# replace the original solrconfig with one importing all the ltr componenet
cp contrib/ltr/example/solrconfig.xml
example/techproducts/solr/techproducts/conf/

4. run the example again

./bin/solr -e techproducts

5. index some features and a model

6. have fun !

http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true

> Integrate Learning to Rank

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-15 Thread Joshua Pantony (JIRA)

[
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

h4. 1. compile solr and the examples

cd solr
ant dist
ant example

h4. 2. run the example

./bin/solr -e techproducts

h4. 3. stop it and install the plugin:

h4. 4. run the example again

./bin/solr -e techproducts

h4. 5. index some features and a model

h4. 6. have fun !

# access to the default feature store
http://localhost:8983/solr/techproducts/schema/fstore/_DEFAULT_
# access to the model store
http://localhost:8983/solr/techproducts/schema/mstore
# perform a query using the model, and retrieve the features
http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

h4. 1. compile solr and the examples

cd solr
ant dist
ant example

h4. 2. run the example

./bin/solr -e techproducts

h4. 3. stop it and install the plugin:

./bin/solr stop

mkdir example/techproducts/solr/techproducts/lib

cp build/contrib/ltr/lucene-ltr-6.0.0-SNAPSHOT.jar
example/techproducts/solr/techproducts/lib/

cp contrib/ltr/example/solrconfig.xml
example/techproducts/solr/techproducts/conf/

h4. 4. run the example again

./bin/solr -e techproducts

h4. 5. index some features and a model

h4. 6. have fun !

http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true

> Integrate Learning to Rank into Solr
>
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project:

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-15 Thread Joshua Pantony (JIRA)

[
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

1. compile solr and the examples

cd solr
ant dist
ant example

2. run the example

./bin/solr -e techproducts

3. stop it and install the plugin:

4. run the example again

./bin/solr -e techproducts

5. index some features and a model

6. have fun !

http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

## Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

1. compile solr and the examples

cd solr
ant dist
ant example

2. run the example

./bin/solr -e techproducts

3. stop it and install the plugin:

4. run the example again

./bin/solr -e techproducts

5. index some features and a model

6. have fun !

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-15 Thread Joshua Pantony (JIRA)

[
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

1. compile solr and the examples

cd solr
ant dist
ant example

2. run the example

./bin/solr -e techproducts

3. stop it and install the plugin:

4. run the example again

./bin/solr -e techproducts

5. index some features and a model

6. have fun !

http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

1. compile solr and the examples

cd solr
ant dist
ant example

2. run the example

./bin/solr -e techproducts

3. stop it and install the plugin:

4. run the example again

./bin/solr -e techproducts

5. index some features and a model

6. have fun !

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-15 Thread Joshua Pantony (JIRA)

[
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

h4. 1. compile solr and the examples

cd solr
ant dist
ant example

h4. 2. run the example

./bin/solr -e techproducts

h4. 3. stop it and install the plugin:

h4. 4. run the example again

./bin/solr -e techproducts

h4. 5. index some features and a model

h4. 6. have fun !

*strong*access to the default feature store
http://localhost:8983/solr/techproducts/schema/fstore/_DEFAULT_
*strong*access to the model store
http://localhost:8983/solr/techproducts/schema/mstore
*strong*perform a query using the model, and retrieve the features
http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

h4. 1. compile solr and the examples

cd solr
ant dist
ant example

h4. 2. run the example

./bin/solr -e techproducts

h4. 3. stop it and install the plugin:

h4. 4. run the example again

./bin/solr -e techproducts

h4. 5. index some features and a model

h4. 6. have fun !

> Integrate Learning to Rank into Solr
>
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
> Issue Type: New Feature
>

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-15 Thread Joshua Pantony (JIRA)

[
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

h4. 1. compile solr and the examples

cd solr
ant dist
ant example

h4. 2. run the example

./bin/solr -e techproducts

h4. 3. stop it and install the plugin:

h4. 4. run the example again

./bin/solr -e techproducts

h4. 5. index some features and a model

h4. 6. have fun !

*access to the default feature store*
http://localhost:8983/solr/techproducts/schema/fstore/_DEFAULT_
*access to the model store*
http://localhost:8983/solr/techproducts/schema/mstore
*perform a query using the model, and retrieve the features *
http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

h4. 1. compile solr and the examples

cd solr
ant dist
ant example

h4. 2. run the example

./bin/solr -e techproducts

h4. 3. stop it and install the plugin:

h4. 4. run the example again

./bin/solr -e techproducts

h4. 5. index some features and a model

h4. 6. have fun !

> Integrate Learning to Rank into Solr
>
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
> Issue Type: New Feature
>

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-15 Thread Joshua Pantony (JIRA)

[
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

h4. 1. compile solr and the examples

cd solr
ant dist
ant example

h4. 2. run the example

./bin/solr -e techproducts

h4. 3. stop it and install the plugin:

h4. 4. run the example again

./bin/solr -e techproducts

h4. 5. index some features and a model

h4. 6. have fun !

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached
documentation as a github MD file, but are happy to convert to a desired format.

h3. Test the plugin with solr/example/techproducts in 6 steps

Solr provides some simple example of indices. In order to test the plugin with
the techproducts example please follow these steps

h4. 1. compile solr and the examples

cd solr
ant dist
ant example

h4. 2. run the example

./bin/solr -e techproducts

h4. 3. stop it and install the plugin:

h4. 4. run the example again

./bin/solr -e techproducts

h4. 5. index some features and a model

h4. 6. have fun !

*access to the default feature store*
http://localhost:8983/solr/techproducts/schema/fstore/_DEFAULT_
*access to the model store*
http://localhost:8983/solr/techproducts/schema/mstore
*perform a query using the model, and retrieve the features *
http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true

> Integrate Learning to Rank into Solr
>
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
> Issue Type: New Feature
>Reporter:

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-15 Thread Diego Ceccarelli (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Diego Ceccarelli updated SOLR-8542:
---
Attachment: README.txt

> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
>Priority: Minor
> Attachments: README.md, README.txt, SOLR-8542-branch_5x.patch, 
> SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously presented by the authors at Lucene/Solr 
> Revolution 2015 ( 
> http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
>  ).
> The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
> and Diego Ceccarelli.
> Any chance this could make it into a 5x release? We've also attached 
> documentation as a github MD file, but are happy to convert to a desired 
> format.
> h3. Test the plugin with solr/example/techproducts in 6 steps
> Solr provides some simple example of indices. In order to test the plugin 
> with 
> the techproducts example please follow these steps
> h4. 1. compile solr and the examples 
> cd solr
> ant dist
> ant example
> h4. 2. run the example
> ./bin/solr -e techproducts 
> h4. 3. stop it and install the plugin:
>
> ./bin/solr stop
> mkdir example/techproducts/solr/techproducts/lib
> cp build/contrib/ltr/lucene-ltr-6.0.0-SNAPSHOT.jar 
> example/techproducts/solr/techproducts/lib/
> cp contrib/ltr/example/solrconfig.xml 
> example/techproducts/solr/techproducts/conf/
> h4. 4. run the example again
> 
> ./bin/solr -e techproducts
> h4. 5. index some features and a model
> curl -XPUT 'http://localhost:8983/solr/techproducts/schema/fstore'  
> --data-binary "@./contrib/ltr/example/techproducts-features.json"  -H 
> 'Content-type:application/json'
> curl -XPUT 'http://localhost:8983/solr/techproducts/schema/mstore'  
> --data-binary "@./contrib/ltr/example/techproducts-model.json"  -H 
> 'Content-type:application/json'
> h4. 6. have fun !
> *access to the default feature store*
> http://localhost:8983/solr/techproducts/schema/fstore/_DEFAULT_ 
> *access to the model store*
> http://localhost:8983/solr/techproducts/schema/mstore
> *perform a query using the model, and retrieve the features*
> http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-15 Thread Diego Ceccarelli (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Diego Ceccarelli updated SOLR-8542:
---
Attachment: (was: README.txt)

> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
>Priority: Minor
> Attachments: README.md, README.md, SOLR-8542-branch_5x.patch, 
> SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously presented by the authors at Lucene/Solr 
> Revolution 2015 ( 
> http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
>  ).
> The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
> and Diego Ceccarelli.
> Any chance this could make it into a 5x release? We've also attached 
> documentation as a github MD file, but are happy to convert to a desired 
> format.
> h3. Test the plugin with solr/example/techproducts in 6 steps
> Solr provides some simple example of indices. In order to test the plugin 
> with 
> the techproducts example please follow these steps
> h4. 1. compile solr and the examples 
> cd solr
> ant dist
> ant example
> h4. 2. run the example
> ./bin/solr -e techproducts 
> h4. 3. stop it and install the plugin:
>
> ./bin/solr stop
> mkdir example/techproducts/solr/techproducts/lib
> cp build/contrib/ltr/lucene-ltr-6.0.0-SNAPSHOT.jar 
> example/techproducts/solr/techproducts/lib/
> cp contrib/ltr/example/solrconfig.xml 
> example/techproducts/solr/techproducts/conf/
> h4. 4. run the example again
> 
> ./bin/solr -e techproducts
> h4. 5. index some features and a model
> curl -XPUT 'http://localhost:8983/solr/techproducts/schema/fstore'  
> --data-binary "@./contrib/ltr/example/techproducts-features.json"  -H 
> 'Content-type:application/json'
> curl -XPUT 'http://localhost:8983/solr/techproducts/schema/mstore'  
> --data-binary "@./contrib/ltr/example/techproducts-model.json"  -H 
> 'Content-type:application/json'
> h4. 6. have fun !
> *access to the default feature store*
> http://localhost:8983/solr/techproducts/schema/fstore/_DEFAULT_ 
> *access to the model store*
> http://localhost:8983/solr/techproducts/schema/mstore
> *perform a query using the model, and retrieve the features*
> http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-15 Thread Diego Ceccarelli (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Diego Ceccarelli updated SOLR-8542:
---
Attachment: README.md

> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Assignee: Christine Poerschke
>Priority: Minor
> Attachments: README.md, README.md, SOLR-8542-branch_5x.patch, 
> SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously presented by the authors at Lucene/Solr 
> Revolution 2015 ( 
> http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
>  ).
> The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
> and Diego Ceccarelli.
> Any chance this could make it into a 5x release? We've also attached 
> documentation as a github MD file, but are happy to convert to a desired 
> format.
> h3. Test the plugin with solr/example/techproducts in 6 steps
> Solr provides some simple example of indices. In order to test the plugin 
> with 
> the techproducts example please follow these steps
> h4. 1. compile solr and the examples 
> cd solr
> ant dist
> ant example
> h4. 2. run the example
> ./bin/solr -e techproducts 
> h4. 3. stop it and install the plugin:
>
> ./bin/solr stop
> mkdir example/techproducts/solr/techproducts/lib
> cp build/contrib/ltr/lucene-ltr-6.0.0-SNAPSHOT.jar 
> example/techproducts/solr/techproducts/lib/
> cp contrib/ltr/example/solrconfig.xml 
> example/techproducts/solr/techproducts/conf/
> h4. 4. run the example again
> 
> ./bin/solr -e techproducts
> h4. 5. index some features and a model
> curl -XPUT 'http://localhost:8983/solr/techproducts/schema/fstore'  
> --data-binary "@./contrib/ltr/example/techproducts-features.json"  -H 
> 'Content-type:application/json'
> curl -XPUT 'http://localhost:8983/solr/techproducts/schema/mstore'  
> --data-binary "@./contrib/ltr/example/techproducts-model.json"  -H 
> 'Content-type:application/json'
> h4. 6. have fun !
> *access to the default feature store*
> http://localhost:8983/solr/techproducts/schema/fstore/_DEFAULT_ 
> *access to the model store*
> http://localhost:8983/solr/techproducts/schema/mstore
> *perform a query using the model, and retrieve the features*
> http://localhost:8983/solr/techproducts/query?indent=on=test=json={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}=*,[features],price,score,name=true



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-13 Thread Joshua Pantony (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Joshua Pantony updated SOLR-8542:
-
Description: 
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously presented by the authors at Lucene/Solr Revolution 2015 
( 
http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
 ).

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and 
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached 
documentation as a github MD file, but are happy to convert to a desired format.


  was:
This is a ticket to integrate learning to rank machine learning models into 
Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
directly inside Solr for use in training a machine learned model. You can then 
deploy that model to Solr and use it to rerank your top X search results. This 
concept was previously presented by the authors at Lucene/Solr Revolution 2015 
( {http://www.slideshare.net/lucidworks/learning-to-rank-in-
solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp} ) .

The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, and 
Diego Ceccarelli.

Any chance this could make it into a 5x release? We've also attached 
documentation as a github MD file, but are happy to convert to a desired format.



> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Priority: Minor
> Attachments: README.md, SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously presented by the authors at Lucene/Solr 
> Revolution 2015 ( 
> http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
>  ).
> The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
> and Diego Ceccarelli.
> Any chance this could make it into a 5x release? We've also attached 
> documentation as a github MD file, but are happy to convert to a desired 
> format.



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[jira] [Updated] (SOLR-8542) Integrate learning to rank into Solr

2016-01-13 Thread Michael Nilsson (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Michael Nilsson updated SOLR-8542:
--
Attachment: README.md
SOLR-8542-trunk.patch

Attached the patch against trunk which contains our LTR code as a contrib 
module, plus a readme.md going over how to use it.

> Integrate learning to rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Priority: Minor
> Attachments: README.md, SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously presented by the authors at Lucene/Solr 
> Revolution 2015 ( {http://www.slideshare.net/lucidworks/learning-to-rank-in-
> solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp} ) .
> The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
> and Diego Ceccarelli.
> Any chance this could make it into a 5x release? We've also attached 
> documentation as a github MD file, but are happy to convert to a desired 
> format.



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-13 Thread Joshua Pantony (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Joshua Pantony updated SOLR-8542:
-
Summary: Integrate Learning to Rank into Solr  (was: Integrate learning to 
rank into Solr)

> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Priority: Minor
> Attachments: README.md, SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously presented by the authors at Lucene/Solr 
> Revolution 2015 ( {http://www.slideshare.net/lucidworks/learning-to-rank-in-
> solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp} ) .
> The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
> and Diego Ceccarelli.
> Any chance this could make it into a 5x release? We've also attached 
> documentation as a github MD file, but are happy to convert to a desired 
> format.



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

2016-01-13 Thread Michael Nilsson (JIRA)


 [ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Michael Nilsson updated SOLR-8542:
--
Attachment: SOLR-8542-branch_5x.patch

Attached a patch for the ltr contrib module against branch_5x as well

> Integrate Learning to Rank into Solr
> 
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
>  Issue Type: New Feature
>Reporter: Joshua Pantony
>Priority: Minor
> Attachments: README.md, SOLR-8542-branch_5x.patch, 
> SOLR-8542-trunk.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into 
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features 
> directly inside Solr for use in training a machine learned model. You can 
> then deploy that model to Solr and use it to rerank your top X search 
> results. This concept was previously presented by the authors at Lucene/Solr 
> Revolution 2015 ( 
> http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp
>  ).
> The attached code was jointly worked on by Joshua Pantony, Michael Nilsson, 
> and Diego Ceccarelli.
> Any chance this could make it into a 5x release? We've also attached 
> documentation as a github MD file, but are happy to convert to a desired 
> format.



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[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate learning to rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

[jira] [Updated] (SOLR-8542) Integrate Learning to Rank into Solr

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