Error In Xy Non-conformable Arrays
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R Non-conformable Arguments
x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; rpart binary operation on non-conformable arrays it only takes a minute: Sign up Training neuralnet error: Error in x - y : non-conformable arrays up vote 0 down vote favorite 1 I have a sample data as following item.train units tmax tmin tavg dewpoint wetbulb
Neuralnet Compute
heat cool snowfall preciptotal 0 52 31 42 36 40 23 0 0 0.050 0 50 31 41 26 35 24 0 0 0.010 0 32 11 22 4 18 43 0 0 0.000 0 28 9 19 -1 14 46 0 0 0.000 0 38 25 32 13 25 33 0 0 0.000 0 46 25 36 21 29 29 0 NA 0.005 stnpressure resultspeed RA BR FZ FG SN TS 29.78 3.6 1 1 1 1 0 error in neurons[[i]] %*% weights[[i]] 0 29.44 9.8 0 0 0 0 0 0 29.67 10.8 0 0 0 0 0 0 29.86 6.3 0 0 0 0 0 0 29.67 6.9 0 0 0 0 0 0 29.68 0.3 0 0 0 0 1 0 I am trying to perform neuralnet library(neuralnet) neural.pred = neuralnet(units ~ tmax+tmin+tavg+dewpoint+wetbulb+heat+cool+snowfall+ preciptotal+stnpressure+resultspeed+ RA+BR+FZ+FG+SN+TS, data = item.train, linear.output = TRUE, hidden = c(5, 5), err.fct = "sse", rep = 100) And R gives me an error Error in x - y : non-conformable arrays Help me what's wrong with my code or data, and how to solve it r neural-network share|improve this question edited Apr 23 '15 at 9:01 pcs 1,6101522 asked Apr 23 '15 at 8:51 asbebe 379 To my knowledge your arrays should be the same size. I think that NA in snowfall might cause some issues so I would continue by editing these data accordingly and trying again. Does your code complain after you remove that NA? –Olli J Apr 23 '15 at 10:21 After removing that NA, i tried. But it gives me the same error. –asbebe Apr 24 '15 at 0:40 What did you replace it with? You have to make sure your arrays are sized similarly. –Olli J Apr 24 '15 at 7:05 I just replace NA to 0. That's all. –asbebe Apr 24 '15 at 7:24 Okay. W
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Error In Neurons[[i]] %*% Weights[[i]] : Non-conformable Arguments
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Requires Numeric Complex Matrix Vector Arguments Neural Net
Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 4.7 algorithm did not converge in 1 of 1 repetition(s) within the stepmax million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up R neuralNet: “non-conformable arguments” up vote 3 down vote favorite Argh! I keep getting the following error when attempting to http://stackoverflow.com/questions/29818334/training-neuralnet-error-error-in-x-y-non-conformable-arrays compute with my neural network: > net.compute <- compute(net, matrix.train2) Error in neurons[[i]] %*% weights[[i]] : non-conformable arguments I can't figure out what the problem is. Below I'll provide you with an example data and formatting from my matrices and then I'll show you the code I'm attempting to run. matrix.train1 is used for training the network > matrix.train1 (Intercept) survived pclass sexmale age sibsp parch fare embarkedC embarkedQ embarkedS 1 1 0 http://stackoverflow.com/questions/17551167/r-neuralnet-non-conformable-arguments 3 1 22.00 1 0 7.2500 0 0 1 2 1 1 1 0 38.00 1 0 71.2833 1 0 0 3 1 1 3 0 26.00 0 0 7.9250 0 0 1 4 1 1 1 0 35.00 1 0 53.1000 0 0 1 5 1 0 3 1 35.00 0 0 8.0500 0 0 1 6 1 0 3 1 999.00 0 0 8.4583 0 1 0 7 1 0 1 1 54.00 0 0 51.8625 0 0 1 8 1 0 3 1 2.00 3 1 21.0750 0 0 1 9 1 1 3 0 27.00 0 2 11.1333 0 0 1 10 1 1 2 0 14.00 1 0 30.0708 1 0 0 11 1 1 3 0 4.00 1 1 16.7000 0 0 1 matrix.train2 is a slice of the training data used for testing the model > matrix.train2 (Intercept) pclass sexmale age sibsp parch fare embarkedC embarkedQ embarkedS 1 1 1 1 49.00 1 1 110.8833 1 0 0 2 1 3 1 42.00 0 0 7.6500 0 0 1 3 1 1 0 18.00 1 0 227.5250 1 0 0 4 1 1 1 35.00 0 0 26.2875 0 0 1 5 1 3 0 18.00 0 1 14.4542 1 0 0 6 1 3 1 25.00 0 0
this post in threaded view ♦ ♦ | Report Content as Inappropriate ♦ ♦ Error due to non-conformable arrays Hello, Consider this function for generalized ridge regression: gre <- function (X,y,D){ http://r.789695.n4.nabble.com/Error-due-to-non-conformable-arrays-td895888.html n <- dim(X)[1] p <- dim(X)[2] intercept <- rep(1, n) X <- cbind(intercept, X) X2D <- https://books.google.com/books?id=q9ugDAAAQBAJ&pg=PA165&lpg=PA165&dq=error+in+xy+non-conformable+arrays&source=bl&ots=8a5DLzDQlm&sig=YsDQeL6iHDsFcTfwDxUBHHNUTWU&hl=en&sa=X&ved=0ahUKEwjJw6rL7czPAhWd8oMKHcw1DVsQ6AEIYTAJ crossprod(X,X)+ D Xy <- crossprod(X,y) bth <- qr.solve(X2D, Xy) } # suppose X is an (nxp) design matrix and y is an (nx1) response vector p error in <- dim(x)[2] D<- diag(rep(1.5,p)) bt <- gre(X,y,D) I am getting following error: Error in crossprod(X, X) + D : non-conformable arrays But when i define D within the function 'gre()' then everything is fine. What wrong i have done? thanks. David Winsemius Threaded Open this post in threaded view ♦ ♦ | Report Content as Inappropriate ♦ ♦ Re: Error due to non-conformable arrays Incomplete code leaves error in neurons[[i]] us able to do naught but guess; Perhaps you are unaware that x != X -- DW On Jul 7, 2009, at 1:30 PM, spime wrote: > > Hello, > > Consider this function for generalized ridge regression: > > gre <- function (X,y,D){ > n <- dim(X)[1] > p <- dim(X)[2] > intercept <- rep(1, n) > X <- cbind(intercept, X) > X2D <- crossprod(X,X)+ D > Xy <- crossprod(X,y) > bth <- qr.solve(X2D, Xy) > } > > # suppose X is an (nxp) design matrix and y is an (nx1) response > vector > p <- dim(x)[2] > D<- diag(rep(1.5,p)) > bt <- gre(X,y,D) > > I am getting following error: > Error in crossprod(X, X) + D : non-conformable arrays > > But when i define D within the function 'gre()' then everything is > fine. > What wrong i have done? > > thanks. > -- > View this message in context: http://www.nabble.com/Error-due-to-non-conformable-arrays-tp24377781p24377781.html> Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > [hidden email] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code. David Winsemius, MD Heritage Laboratories West Hartford, CT _______________________________
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