search for: term_vectors

...showed the document with all its fields intact, including the :data field. All the :data field terms that failed to retrieve the document on the web app were indeed present, according to the browser. We then built a short script with the API that instantiated an IndexReader and called IndexReader.term_vectors() with the id of our subject doc. The term_vectors returned included a vector for :keywords, but not for :data. Somehow the core API funcs are not finding this document''s :data field when the 0.11.4 browser is. Are there differences between the two that would explain this? Does this pr...

I have this model: class Post < ActiveRecord::Base acts_as_ferret :fields => { :title => {:boost => 2}, :description => {}, :url => {}, :rank_sort => {:index => :untokenized_omit_norms, :term_vector => :no},

Hey Dave, I just contributed $100 to the ferret donation box. My project is earning no money yet (but hopefully will), for now I hope this helps you out and covers me for asking stupid questions ;). To get a distance sorted output, I am passing an array of the id field from a ferret search through to mysql in a custom select statement. SELECT ... id IN (#{ids.join(",")}) This has

Just a quick note for future reference - at least for me, ferret won''t work on Ruby 1.8.4. gem install ferret Successfully installed ferret-0.11.4-mswin32 ruby -v ruby 1.8.4 (2005-12-24) [i386-mswin32] irb irb(main):001:0> require ''ferret'' A windows error message box appears - ruby.exe - Entry Point Not Found The procedure entry point rb_w32_write could not be

Hi I''m considering using Ferret in v2 of Weft QDA, a wxruby desktop application for textual analysis in social science. Ferret seems a very impressive package that meets and exceeds my requirements, but I can''t find how to retrieve specific details about the results. I''d like to be able to run fairly simple queries. I then need to look at each term match, and get

This program reliably crashes for me (usually a segfault): require ''rubygems'' require ''ferret'' reader=Ferret::Index::IndexReader.new ARGV fields=reader.field_infos.fields reader.max_doc.times{|n| fields.each{|field| reader.term_vector(n,field) } unless reader.deleted?(n) print "."; STDOUT.flush } As you can see, it just goes through

I have a lot of crashes when I try to use term vectors. Here''s an example, which crashes pretty consistently. This problem seems to be somewhat sensitive to platform... people on other OS''s and ruby versions have reported no error. I have seen this with ferret 0.10.13 and 0.10.14 on debian stable using ruby 1.8.2, but I have observed the same problem on various other systems as

I''m running: ferret (0.10.9) ruby 1.8.5 (2006-08-25) [i386-mswin32] on Windows XP(SP2) When I create an index as follows: field_infos = FieldInfos.new(:store => :yes, :term_vector => :no, :index => :yes) field_infos.add_field(:id, :index => :untokenized) field_infos.add_field(:subject) field_infos.add_field(:author) field_infos.add_field(:tags, :store => :no) index =

hi, i''m trying ferret, i''ve a model which has some records and two of them have a title with the word ''again'' (one or more time), so i''ve tried to do a search for ''again'', but i didn''t found anything...i''ve edited the title with ''test again'', searched for ''test'', and i''ve

Hi all, first off, it''s 2AM and I''m not thinking properly, so please forgive me if this one''s easy, but I just need to get this going. First problem, using 0.9.6 on all of our development machines, works great, then we move it to a server running x86_64 linux and it segfaults as soon as it tries to create an Index. I''ve tried rebuilding with different

Hi .. I tried to exclude certain objects from my search, by adding appropriate term queries .. i = Ferret::Index::Index.new i.field_infos.add_field(:type, :index => :untokenized, :term_vector => :no) i << {:type => "Movie", :name => "Indiana" } i << {:type => "Movie", :name => "Forrest" } i << {:type =>

Hi, there. I need some help. Is there a way to count frequencies of terms in a document on Ferret? I know that Ferret has IndexReader#terms_docs_for method which counts all documents. I need to count frequencies of terms in a specific document. Some way?? -- Posted via http://www.ruby-forum.com/.

Hi All, Hope all is going well. Was just wondering if anyone has implemented a grep style output page of hits using Ferret as the index/query engine? Any thoughts about how best to implement it? The previous thread discussess highlighting - would that be the best approach to follow or is there a better way? Cheers, Marcus -- Posted via http://www.ruby-forum.com/.

Hi, I have my Model as follows: class Mutation < ActiveRecord::Base acts_as_ferret ({:fields => {:description=>{}, :product_id=>{:index => :untokenized}, :product_description=>{}, :product_label_description=>{}, :product_label_free=>{}, :product_product_id_supplier=>{}, :product_description_supplier=>{}, :supplier_description=>{}, :pub_date_sort

I want to compare two documents in the index (i.e. retrieve the cosine similarity/score between two documents term-vector''s). Is this possible using the standard Ferret functionality? Thanks in advance, Jeroen Bulters -- Posted via http://www.ruby-forum.com/.

I''m a ferret newbie, so hopefully I''m missing something simple :) I am using ferret to index data about 36,000 products from a MySQL database. The index has one document for each product, with these important fields: id: the id (unique) of the product record in the database content: a concatenation of several bits of information from the product and associated records I

Dave, thank you so much for the 0.11 release(s). You have solved many problems for me. As part of my appreciation for your good works, I am offering up for public consideration a silly little class that I wrote. (Code is below.) This class offers a simplified Hash-like interface to (a very restricted subset of) Ferret. Hence I call it FerretHash. FerretHash comes with its very own pet Ferret

I have a script (below) which attempts to make an index out of all the man pages on my system. It takes a while, mostly because it runs man over and over... but anyway, as time goes on the memory usage goes up and up and never down. Eventually, it runs out of ram and just starts thrashing up the swap space, pretty much grinding to a halt. The workaround would seem to be to index documents in

Hi I use Ferret 0.11.4 and the latest stabel version of the acts_as_ferret plugin. To the issue. if I do Model.rebuild_index and after that try to update one of my objects of that Model I get: File Not Found Error occured at <except.c>:117 in xpop_context Error occured in fs_store.c:329 - fs_open_input tried to open

Hi, I''m new to using ferret (and fairly new to ruby/rails) and I''m having a problem I can''t fathom. Sorry for the long post ... I have a test which passes require ''rubygems'' require ''ferret'' include Ferret require ''test/unit'' class CompanyTest < Test::Unit::TestCase def test_index puts ''running