How do I use MemoryIndex or RAMDirectory, but score using term statistics from a corpus given during preprocessing?
Let's say I want to use a MemoryIndex or RAMDirectory to store a *single* document, and then run a query against it, and get the score of the query using just this one document. I know how to do this. See, for some example code, this blog post on persistent search: http://www.sajalkayan.com/prospective-search-using-python.html Now what I want to do is take a *corpus* of K documents, and "index" it during preprocessing to calculate the term statistics (e.g. idf). I then want to freeze these term statistics, and use them whenever I insert and compute the query score of a new document. I.e. I want to *quickly* query a new document, using preprocessed term statistics in the scoring function. How can I do this? Thanks, Joseph
