similar to: How to implement a user score by activity

Hello folks, I am currently working on a project that has to deliver an admin interface like the Django''s one, I wanna know if you know/ recommend any gem or plugin for that. Cheers, Rodrigo Alves Vieira -- You received this message because you are subscribed to the Google Groups "Ruby on Rails: Talk" group. To post to this group, send email to

Hello everybody, in my app, (using rspec 2.0.0.beta22) I have my .rspec file with "--colour" in it., I want to know if are there any other options for this file? And I wanna know if is there a verbose mode of running my specs, listing their ''describes'' and/or ''its''? Thanks!

Hello everyone, I am developing my application and I created a scaffold called listas, but when I acess /listas/new I get this error message: NoMethodError in Listas#new Showing /home/rodrigo3n/code/listeiroo/app/views/listas/_form.html.erb where line #15 raised: undefined method `deep_symbolize_keys'' for nil:NilClass Extracted source (around line #15): 12: <% end %> 13: 14:

Hello everyone, my app is Twitter based, and all I have to do is get the tweets of a given user and retweet it in other twitter profile.. so when user1 tweets, user2 must automatically retweet. I think I must write some background job to make this work but I don''t know how? Any ideas? Any gem intended for things like this? Thanks! -- You received this message because you are subscribed

Hello everyone, in a test helper in my app I call category.id that gets the id of category in the database. However, when running RSpec I get the following error: As a parla customer /Users/saulolopes/code/parla/spec/acceptance/support/paths.rb:13: warning: Object#id will be deprecated; use Object#object_id /Users/saulolopes/code/parla/spec/acceptance/support/paths.rb:13: warning: Object#id

Dear R Help list, My question is regarding extracting the standard error or Z-score from a cph or coxph call. My Cox model is: - modz=cph(Surv(TSURV,STATUS)~RAGE+DAGE+REG_WTIME_M+CLD_ISCH+POLY_VS, data=kidneyT,method="breslow", x=T, y=T) I've used names(modz) but can't see anything that will let me extract the Z scores for each coefficient or the standard errors in the same

Subject: Teo En Ming's Learning Achievements on 14 August 2020 Friday [1] Activate Cisco AnyConnect SSL VPN License on Cisco ASA 5506-X Firewall Today I discovered that the base license for Cisco ASA 5506-X Firewall only allows maximum 2 SSL VPN users. I had to login to https://www.cisco.com/go/license, assign the PAK/token to the serial number of Cisco ASA 5506-X firewall and perform a

Hi, I have some questions about the way that documents are scored by the Boolean and MultiTerm Queries, and about possible options for custom scoring articles. I am working on a project experimenting with different methods of automatically generating queries and the scoring mechanisms behind Lucene and Ferret have been perplexing us. >From looking at the Lucene explanation at (

i have been trying to get this to work for a while now. my controller is sort = [ Ferret::Search::SortField::SCORE_REV ] @results = Record.multi_search(params[:search_terms], [ Link, Post, Event ], {:limit => :all, :sort => sort }) and in my view i just render a conglomeration of the appropriate partials for each model. it seems that no matter what i do, i can''t get the

Hi, I need to score more on products, those names begin with query, rather then just contain it. I am not sure where to start research on that... Any ideas? Best regards, Tom -- Posted via http://www.ruby-forum.com/.

Sorry if this has been beaten to death here but I couldn''t find the exact answer I was looking for. In the app I''m writing, we convert the score to a percentage and display it with the search results. The problem is when you search for an exact phrase (for example) and it matches the title of a document exactly, you only get a 17% match. Has anyone seen a way to either curve

Hello All, I have a rails app that maintains movie data index and uses "acts_as_ferret" for search. I ran into an issue with the scoring of wildcard searches. When I search for word "super*", the record containing the word "superman" is ranked above the one having just "super". Is this normal or am I missing something? Any ideas on how scoring can be

Am I missing something or would I need to use find_id_by_contents and populate a results list with my own objects (or add ''score'' to my AR instances and populate that) in order to be able to get a score out when iterating the results (like on a search results page)? Said another way, it seems find_by_contents does not provide any access to score in the resulting list. Is

Whats the relevance of score given by ferret? -- Posted via http://www.ruby-forum.com/.

The docs for Sort.new say: reverse: pass true if you want the sort order to be reversed. Only works if you pass the field names. Does this mean it''s not possible to do a reverse sort by score? If it is it seems to be broken as I don''t seem to be able to reverse the order of the sort. I''ll write a test case if this is not a known problem. Greetings, Pedro.

I am trying to figure out how to sort my results by the score Ferret is returning. From the results of a search, I use the ids to then look up their corresponding records in the database. The reason for this is that the database records contain more information than I am storing in the index. Any ideas? Code example below. Thanks in advance! def index if (params[:q])

To the list: What R commands will perform the score test on an ordered multinomial logit model to evaluate the proportional odds assumption? Many thanks. Mtichell Wachtel [[alternative HTML version deleted]]

Hello I am running a project but I encounter a problem . I would be happy to receive help : problem: I have a binary dependent variable and some covariates logit(y)=a+bx+cz . I want to estimate the score vectors and their covariance by the usage of logit function and so glm in R .The vlaue of one of the coefficient ( like b) is known previously and I want to extract a and c and covariance

Hi: I have calculated the Silhouette score and Dunn score after hierarchical clustering for 3 clusters: #Distance measure d <- dist(USArrests, method = "euclidean") #Hierarchical clustering hc <- hclust(dist(USArrests), "ave") #calculating silhouette value for 3 clusters sil<- silhouette(cutree(hc, k=3), d) #calculating Dunn index for 3 clusters clus <- cutree(hc,

Hello everyone, I am doing the hypothesis test and I need the score vector of each iteration in glm (family=binomial); how could I do it. I tried trace option but it gives me just AIC of each iteration nothing more. thanks; [[alternative HTML version deleted]]