Hi, I'm new to PyLucene, so forgive me if this is a newbie question. I have a dataset composed of several thousand lists of 128 integer features, each list associated with a class label. Would it be possible to use Lucene as a classifier, by indexing the label with respect to these integer features, and then classify a new list by finding the most similar labels with Lucene?
I've been going through the PyLucene samples, but they only seem to involve indexing text, not continuous features (understandably). Could anyone point me to an example that indexes non-textual data? I think the project Lire (http://www.semanticmetadata.net/lire/) is using Lucene to do something similar to this, although with an emphasis on image features. I've dug into their code a little, but I'm not a strong Java programmer, so I'm not sure how they're pulling it off, nor how I might translate this into the PyLucene API. In your opinion, is this a practical use of Lucene? Regards, Chris
