Re: Learning to rank - Bad Request

[Diego Ceccarelli (BLOOMBERG/ LONDON)]

Hi Akshay,

did you run solr enabling learning to rank? 

./bin/solr -e techproducts -Dsolr.ltr.enabled=true

if you don't pass -Dsolr.ltr.enabled=true ltr will not be available. 

Cheers,
Diego


From: solr-user@lucene.apache.org At: 07/16/18 09:00:39To:  
solr-user@lucene.apache.org
Subject: Re: Learning to rank - Bad Request

Hi,

I am using apache solr 7.4.0. I am trying to use learning to rank using the
python script and related data provided by the lucene. which can be found at
the Github
<https://github.com/apache/lucene-solr/tree/releases/lucene-solr/6.4.0/solr/contrib/ltr/example>
  
repository of the lucene solr.

I am using the standard core "techproducts" I didnt change the configuration
data and thus it shows the error of bad request while uploading the model to
the solr. 

It shows the error of  empty request body :- "unknown source"

please suggest me how to overcome the error.

Best Regards !

Akshay Patil


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Re: Learning to rank - Bad Request

[akshaypatil]

Hi,

I am using apache solr 7.4.0. I am trying to use learning to rank using the
python script and related data provided by the lucene. which can be found at
the Github

  
repository of the lucene solr.

I am using the standard core "techproducts" I didnt change the configuration
data and thus it shows the error of bad request while uploading the model to
the solr. 

It shows the error of  empty request body :- "unknown source"

please suggest me how to overcome the error.

Best Regards !

Akshay Patil



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Re: Learning to rank - Bad Request

[kusha.pande]

Hi Vincent,

Can you please elaborate more when u say u posted 'posted name feature one
by one' ?

I am getting the same error when i am trying to upload features for any
other collection other than techproducts.



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Re: Learning to rank - Bad Request

[sophia250]

I posted name feature one by one and thus it works.



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Re: Learning to rank - Bad Request

[sophia250]

What missing steps did you fix to solve the issue? i am facing exactly the
same as you had before



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Re: Learning to rank - Bad Request

[woodthom]

Hi,

please could you post the relevant config steps? I am able to get the
techproducts example working  from here:
https://github.com/apache/lucene-solr/tree/master/solr/contrib/ltr/example

but if I change to another index I get the error

"No REST managed resource registered for path /schema/feature-store/"

Thanks



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Re: Learning to rank - Bad Request

[Vincent]

Update: solved, I missed some config steps.

Thanks for the help,

Vincent

On 07-03-17 12:20, Vincent wrote:

Hi Christine,

Thanks for the reply!

I suppose something in our config doens't comply with the LTR plugin. 
If I browse to 
http://[HOST]:[PORT]/solr/[COLLECTION]/schema/feature-store, where I 
upload the features to, the browser can't find the page:


*Not Found*
No REST managed resource registered for path /schema/feature-store
...

So it seems that there /is /no feature endpoint? I suspect that maybe 
our config doesn't apply necessary solr-plugins for LTR or something 
similar, despite the -Dsolr.ltr.enabled=true parameter.


Any advice would be appreciated!

Thanks,

Vincent


On 06-03-17 21:18, Christine Poerschke (BLOOMBERG/ LONDON) wrote:

Hi Vincent,

Would you be comfortable sharing (redacted) details of the exact 
upload command you used and (redacted) extracts of the features json 
file that gave the upload error?


Two things I have encountered commonly myself:
* uploading features to the model endpoint or model to the feature 
endpoint
* forgotten double-quotes around the numbers in 
MultipleAdditiveTreesModel json


Regards,
Christine

- Original Message -
From: solr-user@lucene.apache.org
To: solr-user@lucene.apache.org
At: 03/06/17 13:22:40

Hi all,

I've been trying to get learning to rank working on our own search
index. Following the LTR-readme
(https://github.com/bloomberg/lucene-solr/blob/master-ltr/solr/contrib/ltr/example/README.md) 


I ran the example python script to train and upload the model, but I
already get an error during the uploading of the features:

Bad Request (400) - Expected Map to create a new ManagedResource but
received a java.util.ArrayList
  at
org.apache.solr.rest.RestManager$RestManagerManagedResource.doPut(RestManager.java:523) 


  at
org.apache.solr.rest.ManagedResource.doPost(ManagedResource.java:355)
  at
org.apache.solr.rest.RestManager$ManagedEndpoint.post(RestManager.java:351) 


  at
org.restlet.resource.ServerResource.doHandle(ServerResource.java:454)
  ...

This makes sense: the json feature file is an array, and the RestManager
needs a Map in doPut.

Using the curl command from the cwiki
(https://cwiki.apache.org/confluence/display/solr/Learning+To+Rank)
yields the same error, but instead of it having "received a
java.util.ArrayList" it "received a java.lang.String".

I wonder how this actually is supposed to work, and what's going wrong
in this case. I have tried the LTR with the default techproducts
example, and that worked just fine. Does anyone have an idea of what's
going wrong here?

Thanks in advance!
Vincent

Re: Learning to rank - Bad Request

[Vincent]

Hi Christine,

Thanks for the reply!

I suppose something in our config doens't comply with the LTR plugin. If 
I browse to http://[HOST]:[PORT]/solr/[COLLECTION]/schema/feature-store, 
where I upload the features to, the browser can't find the page:


*Not Found*
No REST managed resource registered for path /schema/feature-store
...

So it seems that there /is /no feature endpoint? I suspect that maybe 
our config doesn't apply necessary solr-plugins for LTR or something 
similar, despite the -Dsolr.ltr.enabled=true parameter.


Any advice would be appreciated!

Thanks,

Vincent


On 06-03-17 21:18, Christine Poerschke (BLOOMBERG/ LONDON) wrote:

Hi Vincent,

Would you be comfortable sharing (redacted) details of the exact upload command 
you used and (redacted) extracts of the features json file that gave the upload 
error?

Two things I have encountered commonly myself:
* uploading features to the model endpoint or model to the feature endpoint
* forgotten double-quotes around the numbers in MultipleAdditiveTreesModel json

Regards,
Christine

- Original Message -
From: solr-user@lucene.apache.org
To: solr-user@lucene.apache.org
At: 03/06/17 13:22:40

Hi all,

I've been trying to get learning to rank working on our own search
index. Following the LTR-readme
(https://github.com/bloomberg/lucene-solr/blob/master-ltr/solr/contrib/ltr/example/README.md)
I ran the example python script to train and upload the model, but I
already get an error during the uploading of the features:

Bad Request (400) - Expected Map to create a new ManagedResource but
received a java.util.ArrayList
  at
org.apache.solr.rest.RestManager$RestManagerManagedResource.doPut(RestManager.java:523)
  at
org.apache.solr.rest.ManagedResource.doPost(ManagedResource.java:355)
  at
org.apache.solr.rest.RestManager$ManagedEndpoint.post(RestManager.java:351)
  at
org.restlet.resource.ServerResource.doHandle(ServerResource.java:454)
  ...

This makes sense: the json feature file is an array, and the RestManager
needs a Map in doPut.

Using the curl command from the cwiki
(https://cwiki.apache.org/confluence/display/solr/Learning+To+Rank)
yields the same error, but instead of it having "received a
java.util.ArrayList" it "received a java.lang.String".

I wonder how this actually is supposed to work, and what's going wrong
in this case. I have tried the LTR with the default techproducts
example, and that worked just fine. Does anyone have an idea of what's
going wrong here?

Thanks in advance!
Vincent