from:"Joshua Pantony \(JIRA\)"

[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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=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] [Commented] (SOLR-8542) Integrate Learning to Rank into Solr

2016-04-27 Thread Joshua Pantony (JIRA)


[ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15260320#comment-15260320
 ] 

Joshua Pantony commented on SOLR-8542:
--

Okay makes sense. You are correct that we are limited in some cases. Other 
examples of algorithms that wouldn't currently adapt well are things like 
ListNet and BoltzRank (similar to your problem). Technically support for this 
could be added in the re scorer level. We made a conscious effort to focus our 
initial code on something that allowed for some of the more popular algorithms 
and also had fast performance. I'd love to add support for more. That being 
said if some friendly developer wanted to add that support we'd love a pull 
request :D .  Our public branch can be found at: 
https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-rfc .

> 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, 
> 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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=true



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

2016-04-25 Thread Joshua Pantony (JIRA)


[ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15256886#comment-15256886
 ] 

Joshua Pantony commented on SOLR-8542:
--

Hi, thanks for the interest! Was there a specific algorithm you had in mind 
that is currently not supported? Often it is possible to formulate comparisons 
in the training phase in such a way that you can still compare just one score 
in the live phase. Lets use rankSVM (a pairwise approach) as an example. Given 
documents D1 and D2, the feature vector represented by the function V(D), if we 
know that D1 > D2, we can formulate this in the training stage as the objective 
function (V(D1) - V(D2)) * W  > 0 . Here we have created an objective function 
by directly comparing pairs of documents D1 and D2, hence it is pairwise. In 
the live phase given documents D1, D2, D3 and D4 we "could" do a direct 
pairwise approach aka:

(V(D1) - V(D2)) * W > 0 ?,
(V(D1) - V(D3)) * W > 0 ?,
(V(D1) - V(D4)) * W > 0 ?,
(V(D2) - V(D3)) * W > 0 ?,
(V(D2) - V(D4)) * W > 0 ?,
(V(D3) - V(D4)) * W > 0 ?

However this is computationally inefficient. In this case if we do a direct 
comparison using our original objective function that we trained on, we'd need 
to do 6 dot products. Using some basic math, in the live phase we can change 
(D1 - D2) * W > 0 to V(D1) * W > V(D2) * W . Now all I need to do in a live 
setting is calculate V(D1) * W, V(D2) * W, V(D3) * W, V(D4) * W . Once we do 
that we can just sort the numbers and volla we've done pairwise comparisons in 
the same time complexity as a pointwise approach. Of course don't trust me, 
read this paper: 
http://www.cs.cornell.edu/people/tj/publications/joachims_02c.pdf (note I 
vastly simplified rank SVM here for ease of dialogue). 

So all that being said, I'll circle back to my original question, was there a 
specific algorithm you had in mind that we don't easily support? If so happy to 
add it in some future patch (no promise on when though  ). [should be noted 
there is some debate / grey area around if lambdaMART is listwise or pairwise 
but it is generally considered among the strongest performing methods]

> 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, 
> 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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.quer

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

2016-03-11 Thread Joshua Pantony (JIRA)


[ 
https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15191539#comment-15191539
 ] 

Joshua Pantony commented on SOLR-8542:
--

Hey Alessandro, thanks for all the interest! We actually wrote our own script 
to parse RankLib to the LTR Plugin format. Do you think it would be prudent to 
add that to this push? It seemed somewhat outside the scope of this ticket 
because we wanted the plugin to be as agnostic to the model training as 
possible, but I could see the logic in having some library specific utilities. 

I'll add some more documentation for the training phase. 

> 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, 
> 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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=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

[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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=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 !

*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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=true

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

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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=true

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

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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=true

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

[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:

./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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=true

> Integrate Learning to Rank into Solr
>
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-854

[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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=true

> I

[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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=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 !

http://localhost:8983/solr/techproducts/query?indent=on&q=test

[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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=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 !

http://localhost:8983/solr/techproducts/query?indent=on&q=test&

[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&q=test&wt=json&rq={!ltr%20model=svm%20reRankDocs=25%20efi.query=%27test%27}&fl=*,[features],price,score,name&fv=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
>

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

2016-01-13 Thread Joshua Pantony (JIRA)

Joshua Pantony created SOLR-8542:


 Summary: 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


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

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

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

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