similar to: NoMethodError in ClassifiedController#create

My project was working when I add new field category It is showing the error in create form and edit form i am sending u controller file as attechment this is my model(category.rb) dor category file class Category < ActiveRecord::Base has_many :classifieds end and this is edit.rhtml <h1>Editing Classified: <%= @classified.title -%></h1> <%= form_tag :action =>

I''m on MAC OSX and I set up my environment as described here: http://hivelogic.com/narrative/articles/ruby_rails_lighttpd_mysql_tiger?status=301 This may be too old and I just realized that, but before I attempt Building Ruby, Rails, Subversion, Mongrel, and MySQL on Mac OS X: http://hivelogic.com/narrative/articles/ruby-rails-mongrel-mysql-osx Okay, I purchased a book "Rails

HEllo, I have the following problem with rails, I am new in this...is there anyone who explain to me what´s happens? Thanks See below: NoMethodError in Classified#show Showing app/views/classified/show.rhtml where line #17 raised: undefined method `updated_at'' for #<Classified:0x686c5e4> Extracted source (around line #17): 14: 15: <strong>Date Posted:</strong>

Hi I was working with a tutorial from a book yesterday and I got to a point where I configuered the routing and it was working fine. And didnt make any changes to it except for debuging. But today I get the following error. Any ides on why is doing this ? ? ? Errno::EBADF in ClassifiedController#list Bad file descriptor - connect(2) RAILS_ROOT: ./script/../config/.. -- Posted via

Hey guys, Here''s an error I get after I hit the submit button on the editing page: NameError in ClassifiedsController#update uninitialized constant ClassifiedsController Help would be appreciated. Thanks -- Posted via http://www.ruby-forum.com/. -- You received this message because you are subscribed to the Google Groups "Ruby on Rails: Talk" group. To post to this

I have a partial form "empresa". In new.rhtml of "empresa", I call the partial form of "usuario". Well, it is happening the following: When save empresa, and stop in validates, as much in "empresa" how much "usuario", appear only error message of "empresa", and not of "usuario". Because this happening? ps1.: I use flash_message

I have a question on the output generated by randomForest in classification mode, specifically, the confusion matrix. The confusion matrix lists the various classes and how the forest classified each one, plus the classification error. Are these numbers essentially averages over all the trees in the forest? If so, is there a way I can get the standard deviation values out of the randomForest,

Sorry for making this a cross-post, but the pressure is on for getting this bandwidth shaper working. I have an interesting dilemma with bi-directional packet classification while doing ACK prioritization. This is an overly simplified summary of my setup: Internet | Eth0 | Router | Eth1 | Intranet A client on the Intranet establishes a flow to a server on the Internet. Packets get

Dear xpeRts, I would like to ask a question about plotting in R. I have four columns in which first column contains x-coordinate and second column contains y-coordinate of certain points, whereas the third column "z" contains classification number of those points from 1 to 4, it should be noted that this column doesn't quantify anything, but just classify the points. More precisely

I'm interested in further understanding the differences in using many classification trees to improve classification rates. I'm also interested in finding out what I can do in R and which methods will allow prediction. Can anybody point me to a citation or discussion? Specifically, I want to classify remotely sensed imagery where training data is extracted on class membership by the user.

Hello, I'm attempting to classify data using tree(). summary(tree()) indicates that I have a very good classification rate. What I'd like to know is which tokens in the data set are correctly classified and which are not. Is there a method for associating the classification with the token? I've been reading Chambers and Hastie (1992) chapter 9 on tree-based models, but find no

I've been groping my way through a classification/discrimination problem, from a consulting client. There are 26 observations, with 4 possible categories and 24 (!!!) potential predictor variables. I tried using lda() on the first 7 predictor variables and got 24 of the 26 observations correctly classified. (Training and testing both on the complete data set --- just to get started.) I

I am editing a form it is taking the value but when i submit it it shows the message def edit @classified = Classified.find(params[:id]) end def update @classified = Classified.find(params[:id]) if @classified.update_attributes(params[:classified]) redirect_to :action => ''show'', :id => @classified else render :action => ''edit'' end end and this is my

Hi all, I am new to tc on Linux, and am having some problems. The basic set-up and use works wonderfully, but now I have run into a slight problem... I am using tc qdiscs and filters to do my traffic shaping. Now, I have a whole bunch of filters to classify the data, and they work well, however, after all my classifications are done, I still have data reaching the default flow. ALL of the

Hi all - I am trying to tune an SVM model by optimizing the cross-validation accuracy. Maximizing this value doesn't necessarily seem to minimize the number of misclassifications. Can anyone tell me how the cross-validation accuracy is defined? In the output below, for example, cross-validation accuracy is 92.2%, while the number of correctly classified samples is (1476+170)/(1476+170+4) =

Hi, I've performed an lda and obtained a classification table for some of my data: > efa.dfa<-lda(groups~.,efa.scores.8,CV=T) > str(efa.dfa) List of 5 $ class : Factor w/ 2 levels "1","2": 1 2 1 2 1 1 2 2 1 2 ... $ posterior: num [1:160, 1:2] 0.99083 0.00852 0.93983 0.23186 0.85931 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:160]

Dear list I've a generic question about how to tune an SVM I'm trying to classify with caret package some population data from a case-control study . In each column of my matrix there are the SNP genotypes , in each row there are the individuals. I correctly splitted my total dataset in training(132 individuals) and test (50 individuals) (respecting the total observed genotypic

Hi Louis, You could try this: # find the index of the maximum value in each row of _data_, # disregarding the last column classified <- apply(data[,-(nclass+1)],1,which.max) ## or, if the maximum may be repeated: classified <- apply(data[,-(nclass+1)], 1, FUN = function(x) which(x == max(x))) # the variable _truth_ is just the last column of _data_ ? truth <- data[,nclass + 1] ?table

Dear R users, I'm new of the R, I really don't know much. I want classification some data (two class, many features and huge size of data) by using R. At this case, I want using Support Vector Machine, Bayes theory based classifier, Discriminant Analysis, Regression based at least. Which package should I using, and can I compare each classifier result by predictions? Thank you.

Hi Hi I am working on credit scoring model using logistic regression. I havd main sample of 42500 clentes and based on their status as regards to defaulted / non - defaulted, I have genereted the probability of default. I have a hold out sample of 5000 clients. I have calculated (1) No of correctly classified goods Gg, (2) No of correcly classified Bads Bg and also (3) number of wrongly