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

Learning to rank - Bad Request

[Vincent]

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