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https://issues.apache.org/jira/browse/SOLR-12367?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16646719#comment-16646719
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Kamuela Lau edited comment on SOLR-12367 at 10/11/18 4:26 PM:
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A similar ClassCastException may show up for other LTRScoringModels (such as
entering an int/long in matrix, ), such as NeuralNetworkModel (in particular,
thinking of matrix/bias values for layers). The ambiguous message for CCE will
only change for LinearModel as of right now.
was (Author: kamulau):
A similar ClassCastException may show up for other LTRScoringModels (such as
entering an int/long in matrix, ), such as NeuralNetworkModel (in particular,
thinking of matrix/bias values for layers). Current patch will not change the
ambiguous message for NeuralNetworkModel...
> When adding a model referencing a non-existent feature the error message is
> very ambiguous
> ------------------------------------------------------------------------------------------
>
> Key: SOLR-12367
> URL: https://issues.apache.org/jira/browse/SOLR-12367
> Project: Solr
> Issue Type: Improvement
> Security Level: Public(Default Security Level. Issues are Public)
> Components: contrib - LTR
> Affects Versions: 7.3.1
> Reporter: Georg Sorst
> Priority: Minor
> Attachments: SOLR-12367.patch, SOLR-12367.patch, SOLR-12367.patch
>
>
> When adding a model that references a non-existent feature a very ambiguous
> error message is thrown, something like "Model type does not exist
> org.apache.solr.ltr.model.{{LinearModel}}".
>
> To reproduce, do not add any features and just add a model, for example by
> doing this:
>
> {{curl -XPUT 'http://localhost:8983/solr/gettingstarted/schema/model-store'
> --data-binary '}}
> {
> {{ "class": "org.apache.solr.ltr.model.LinearModel",}}
> {{ "name": "myModel",}}
> {{ "features": [ \{"name": "whatever" }],}}
> {{ "params": {"weights": {"whatever": 1.0}}}}
> {{}' -H 'Content-type:application/json'}}
>
> The resulting error message "Model type does not exist
> {{org.apache.solr.ltr.model.LinearModel" is extremely misleading and cost me
> a while to figure out the actual cause.}}
>
> A more suitable error message should probably indicate the name of the
> missing feature that the model is trying to reference.
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