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https://issues.apache.org/jira/browse/SOLR-15149?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17282913#comment-17282913
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Alessandro Benedetti commented on SOLR-15149:
---------------------------------------------
Sorry [~dweiss]! You just reverted a commit on that class, for that reason you
were in the list of committers :)
you can ignore my tag then!
> Learning To Rank model upload fails generically
> -----------------------------------------------
>
> Key: SOLR-15149
> URL: https://issues.apache.org/jira/browse/SOLR-15149
> Project: Solr
> Issue Type: Bug
> Security Level: Public(Default Security Level. Issues are Public)
> Reporter: Alessandro Benedetti
> Priority: Major
> Time Spent: 10m
> Remaining Estimate: 0h
>
> When uploading a model, using a not existent store or other incorrect
> parameters you get:
> "error":{
> "metadata":[
> "error-class","org.apache.solr.common.SolrException",
> "root-error-class","java.lang.ClassCastException"],
> "msg":"org.apache.solr.ltr.model.ModelException: Model type does not
> exist org.apache.solr.ltr.model.LinearModel",
> "code":400}}
> In the response, logs don't help that much out of the box, I had to go for
> remote debugging and of course we don't want the generic user to do that.
> Reason is in org/apache/solr/ltr/model/LTRScoringModel.java:111
> {code:java}
> try {
> // create an instance of the model
> model = solrResourceLoader.newInstance(
> className,
> LTRScoringModel.class,
> new String[0], // no sub packages
> new Class[] { String.class, List.class, List.class, String.class,
> List.class, Map.class },
> new Object[] { name, features, norms, featureStoreName,
> allFeatures, params });
> if (params != null) {
> SolrPluginUtils.invokeSetters(model, params.entrySet());
> }
> } catch (final Exception e) {
> throw new ModelException("Model type does not exist " + className, e);
> }
> {code}
> This happens when:
> - use a not existent feature store
> - use not existent feature
> - use an integer instead of Double as a weight in a linear model
> unless any objection, we should improve such message with the real one
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