Hi, I've been asked how to use Solr as a component in a machine learning system, doing document comparison based upon feature vectors.
If I have two vectors, one in the index (in some form) and one in the query (in some form), how can I do, for example, a vector multiplication of the two vectors in order to calculate a score? The feature space I am being given has 100 features, with numerical scores for each feature. In this case, it is not sparse - most features will have a value. I have ideas, but it seems they get me some of the way, but not all. Has anyone worked with Solr in this way? Thanks, Upayavira
