similar to: Query scoring - WTF?

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 have a model which has properties, these are your standard name/value pairs, but also have attributes that affect how I want to store them in ferret. I was using 0.9.5 with 0.2 of aaf, which seemed fine, I just copied and pasted (yes, I know, ick) the to_doc method and added code to iterate though the properties that that model had, and add relavent fields to the document. It seems

Hi, We have an index of around 1M web pages as part of our web app. The app uses ferret by way of RDig to perform searches. We have noticed anecdotally that some searches don''t work the way we thought they should, as if documents were missing from the index. Yesterday we came upon a concrete instance of this. Our documents have several fields, one of which is called :keywords and

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''ve listened in to this mail list for quite a while now but not doing anything with Ferret until I was ready to incorporate it. I''ve used Lucene for years, but not Ferret. I downloaded and installed the ''bleeding edge'' version (lets call it 0.10.9.1). There appears to be a significant re-working of the API happening. It all looks good. But there

Hey ... I just tried to convert my code to 0.10 .. But i''m currently not sure how to use fields.. i really like some of the new api.. its leaner and i like the fact that these strange consts are gone (like Ferret::Search::BooleanClause::Occur::MUST) .. I see that you''re now having Ferret::Index::FieldInfo to describe the fields of the index.. thats good.. and i now see that

I''m trying to search a Model by the state field using Acts As Ferret. The query for this is ''+state:NY'' (substitute state abbreviation for NY). This works find however ''+state:OR'' returns nothing, though just ''portland'' will pull up matches within that state. I''m pretty sure it''s reading OR as an or conditional

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

The following script creates a search index and then searches it. I get no results? Where am I going wrong? Thanks. -----------BEGIN SCRIPT---------------- require ''rubygems'' require ''ferret'' include Ferret path = ''/tmp/myindex'' field_infos = Ferret::Index::FieldInfos.new() field_infos.add_field(:name, :store => :yes, :index => :yes)

I have found another crash in ferret; this one just uses a regular search. It''s similar to an issue reported by Matt Schnitz a while ago, but unlike his, mine does not go away if I turn off omit_norms. It does go away if I turn on the garbage collector more often, but I''m not sure that''s a stable workaround under the circumstances. This one isn''t a

I have a phone field in my table. But in my form i have two text boxes to get the phone number and the country code like below Enter country code ----- Enter phone code ------ In my table i have to save the phone code field after joining the above values with "-" symbol. Example => 0225-25874255 I dont have table field for country_code . So i created like below attr_accessor

Lucene, and perhaps most search engines, are biased towards small fields with little content (where thus the term frequency is higher). Lucene has the option to define a custom (Similarity) class to calculate the similarity between two fields (custom calculation of lengthNorm and tf) in different documents. But how do I do this in ferret? (I know to boost a field, but this is not what I

Anyone ever run into this error message when creating a new FieldInfos? Ferret::Index::FieldInfos.new(:store=>:no) NoMethodError: undefined method `exists?'' for {:store=>:no}:Hash -- Posted via http://www.ruby-forum.com/.

I''ve got User has_one Shop. Rails is not validating when I tried create_shop or build_shop, neither in the browser nor the rails console. My code: class Shop < ActiveRecord::Base attr_protected :user_id belongs_to :user validates_presence_of :name, :primary_address, :city, :country_code, :currency end class ShopsController < ApplicationController before_filter

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 =>

Hello all, I hope someone of you can help me out, I have searched other posts as well but I can't find any solution to the problem I'm dealing with. I want to make a histogram from the data Telephone Lines MDGdataset <-read.csv("MDG_dataset_2010.csv", header=T) MDGdatasetAdapted <- subset(MDGdataset, select = c(Country_Code, Country_Name, Year,

Hi guys! Been reading this list for a while. I have two repeatable Ferret crash bugs, both seg faults. 1. The first bug appears to seg fault Ferret when you use quotes in a search argument (eg ''file_name:"file name"'') 2. The second bug appears to seg fault Ferret when you attempt to index text with very long tokens (above 256 chars). It may have something to do with

Hi there, I''m still trying to wrap my head around when to use a stub and a mock. If I understand this right, I should be using a ''mock'' when imitating an object, but not its behavior. I should be using a stub when I want to imitate the behavior of an object. Does that sound about right? With that said, I''m struggling a little trying to spec out this instance

Hello, I''m a novice to ferret, so far only used it via acts_as_ferret. My question is about a recommended pattern for an ''advanced search'', which would be searching by all fields of a model and some fields from related models, with range search, expression search and wildcards. The kind of search in which a user is presented with a huge form that allows them to set

Is it possible to query the index for a TermEnum for all fields in the index instead of just ? Thanks, John