[R] R NNET object Question

Greetings! After generating a neural network based on a given data set (the data set consists of two input variables and 1 output variable), I get the following output from calling the summary function on the resulting Neural Network object (using the nnet package): >summary(nnetModel) a 2-3-1 n

[R] using neural network in R (nnet)

Hi all, I have considered neural network to classify the health status of the cow. I found a very neatly written R codes for classification method in here . It would be very helpful if you can answer some of the questi

[R] nnet formular for reproduce the expect output

Dear All, I am recently working on neural network using nnet package. The network has 4 hidden layers and 1 output layer, the target output 1 or 0. The model I use is as follows: nn<-nnet(target~f1+f2+f3+f4+f5+f6+f7+f8+f9+f10,data=train,size=4,linout=FALSE,decay=0.025,maxit=800) It works well

[R] nnet multinom question

I'd like to fit a multinomial log-linear model for 4 categories of the form: log[(P(D=i | x)/P(D=0 | x)] = alpha + beta_i x for i = 1,2,3. Is there a way to impose such a constraint in the multinom function of nnet or another function of some library? regards, Hosotsubo -- Moritaka Hosotsubo

[R] How to compare R-CNR tree regression results with R-NNet neural network result?

Are there any result parameters which can be used to compare these algorithms? -- View this message in context: http://r.789695.n4.nabble.com/How-to-compare-R-CNR-tree-regression-results-with-R-NNet-neural-network-result-tp4392967p4392967.html Sent from the R help mailing list archive at

[R] nnet plot

good night Again I ask for help to the community, as I am new at this, I have some basic questions. I am looking for packages on neural networks and so you can search found these two that I think are the most used, neuralnet, nnet. So you can test, and correct me if I'm wrong the neuralnet

Re: [R] R: nnet(): how number of weights are calculated, and what the output means

On Jun 30, 2011, at 9:11 AM, Hafsa Hassan wrote: Dear list, I am new to programming in R, and am implementing my own neural network code and trying to compare its output with that of nnet(). I have tried the nnet CRAN help package, google and R-help mailing list to find out what the nnet(

[R] R: nnet(): how number of weights are calculated, and what the output means

Dear list, I am new to programming in R, and am implementing my own neural network code and trying to compare its output with that of nnet(). I have tried the nnet CRAN help package, google and R-help mailing list to find out what the nnet() output means, and what the training algorithm is, but ha

Re: [R] nnet inappropriate fit for class error

On Tue, 31 May 2011, Duygu Gunaydin wrote: Hi, I am trying to run a nnet algorithm but when I try to use the predict function with type='class', it gives the following error: fit <- nnet(y~., size = 1, data = train.set, rang = 0.5, maxit=200, decay = 0) predict<-predict(fit,test.set,type='cl

[R] nnet inappropriate fit for class error

Hi, I am trying to run a nnet algorithm but when I try to use the predict function with type='class', it gives the following error: fit <- nnet(y~., size = 1, data = train.set, rang = 0.5, maxit=200, decay = 0) predict<-predict(fit,test.set,type='class') Error in predict.nnet(fit, test.set, ty

[R] nnet Multinom output of ordered predictors

Hello, I apologize if this seems like an obvious question, but I have been looking everywhere and have yet to find an answer. I am doing a multinomial regression with multinom() in the nnet package. I have a 3 level ordered response (ordered()) variable and 4 predictors, 3 of which are numerical a

[R] Nnet Questions

Hi, I am using nnet function to run regression and classification algorihtms. following are my questions 1. test<-nnet(Strength~.,cement,skip=T,size=0,linout=T), why linout=T always for Regression algorithm 2. In the help, linout, entropy, softmax and censored are mutually exclusive. but i can

[R] Nnet Questions

Hi, I am new to nueral networks and R. i want run the NN using nnet. Following are my Questions. 1> To run regression using nnet, why should i specify linout=T always?. if not it is not prediciting properly 2>In the help, i have read that linout, entropy, softmax and censored are mutually excl

[R] Nnet and AIC: selection of a parsimonious parameterisation

Hi All, I am trying to use a neural network for my work, but I am not sure about my approach to select a parsimonious model. In R with nnet, the IAC has not been defined for a feed-forward neural network with a single hidden layer. Is this because it does not make sens mathematically in this cas

[R] nnet for regression, mixed factors/numeric in data.frame

Hi there, this is more a comment and a solution rather than a question, but I thought I'd post it since it cost some time to dig down to the issue and maybe someone else could run into this. I'm using the nnet function for a regression task. I'm inputting the following data frame: > 'data.frame'

Re: [R] nnet help

Hi R-helpers , can you please give me more insights on the other data mining and predictive techniques that the nnet package can be used for? -- View this message in context: http://r.789695.n4.nabble.com/nnet-help-tp2993609p2994756.html Sent from the R help mailing list archive at Nabble.com.

[R] nnet help

Hi R-helpers , i am learning nnet package now.I have seen that the nnet can be used for regression and classification.Can you give me more insights on the other data mining and predictive techniques that the nnet package can be used for? If possible, can you send me links for sample datasets with

Re: [R] nnet support

r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of Raji > Sent: Tuesday, October 12, 2010 4:24 AM > To: r-help@r-project.org > Subject: Re: [R] nnet support > > > A book/online link with an example for all the parameters that are use

Re: [R] nnet support

The references have enough information about the package. But, understanding each parameter of nnet would be easier if there is an example for its usage.For example , how to give contrasts, an example with linear outputs etc. -- View this message in context: http://r.789695.n4.nabble.com/nnet-s

Re: [R] nnet support

On 12.10.2010 12:24, Raji wrote: A book/online link with an example for all the parameters that are used in nnet would help in understanding the package better. What about starting with the references given in the nnet help, both written by the author of the package? Ripley, B. D. (1996)

Re: [R] nnet support

A book/online link with an example for all the parameters that are used in nnet would help in understanding the package better. -- View this message in context: http://r.789695.n4.nabble.com/nnet-support-tp840467p2991572.html Sent from the R help mailing list archive at Nabble.com.

[R] nnet

HI, Dear R community, I am using the nnet to fit a neural network model to do classification on binary target variable (0, 1). I am using the following codes: nnet.fit<-nnet(as.factor(out) ~ ., data=train, size=5, rang=0.3, decay=5e-4, maxit=500) I want to know what is the activation function f

Re: [R] nnet: cannot coerce class c("terms", "formula") into a data.frame

Without checking R or the rest of the code, the error seems quite clear to me: R finds a formula where it expects a data frame. cvc_lda is not a dataframe. Do str(cvc_lda) to check for yourself. You really need to learn this btw. Whenever you get an error, first thing to do is to check whether ever

[R] nnet: cannot coerce class c("terms", "formula") into a data.frame

Dearest all, Objective: I am now learning neural networks. I want to see how well can train an artificial neural network model to discriminate between the two files I am attaching with this message. http://r.789695.n4.nabble.com/file/n2240582/3dMaskDump.txt 3dMaskDump.txt http://r.789695.n4.nab

[R] nnet library and FANN package'm

Hello ! I'd like to know to which of the FANN package network corresponds the R nnet network ? In more details, what is the R nnet activation function, what is the training algorithm (rprop, quickprop, ...) ? Also, it seems that the R nnet "decay" parameter in nnet cor

[R] nnet library and FANN package'm

Hello ! I'd like to know to which of the FANN package network corresponds the R nnet network ? In more details, what is the R nnet activation function, what is the training algorithm (rprop, quickprop, ...) ? Also, it seems that the R nnet "decay" parameter in nnet cor

[R] nnet function - help!

Dear experts, I'm new in R. I'd like to know if I need to standarize the input variables prior to using the nnet function or does this function standarizes the variables internally? In the first case, is there a fast way to standarize continuous and categorical inputs? Thanks Lars. [[a

[R] NNET conditional Multinomial logit

Please, could you tell me how to enter a mixed or a purely conditional multinomial logit model in NNET. I know how to do a multinomial logit in NNET but I don't know how to do conditional or mixed models using this package. I do know how to do this with VGAM - but would like to compare my resu

[R] nnet support

Dear Sir/Madam I have recently started using the nnet package but cannot find any documentation other than the one page titled 'nnet {nnet}' which is replicated several times over the internet and is found in the help file for this package. I would like more information on how to use the package

Re: [R] nnet support

--Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Tristan S B Fletcher Sent: 25 September 2008 14:46 To: R-help@r-project.org Subject: [R] nnet support Hi I have recently started using the nnet package but cannot find any documentation other than the one p

[R] nnet support

Hi I have recently started using the nnet package but cannot find any documentation other than the one page titled 'nnet {nnet}' which is replicated several times over the internet and is found in the help file for this package. I would like more information on how to use the package and have sea

Re: [R] nnet

On Thu, 21 Feb 2008, Luís Paulo F. Garcia wrote: In nnet.formula(classe ~ ., data = treinamento_data, size = 10, : group Class is empty What does this mean? Well, you are the best placed to tell us as we don't have a reproducible example (see the footer) and you do. But at a guess, 'class

[R] nnet

In nnet.formula(classe ~ ., data = treinamento_data, size = 10, : group Class is empty What does this mean? [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read t