Software for feed-forward neural networks with a single hidden layer, and for multinomial log-linear models.
Questions tagged [nnet]
167 questions
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2 answers
R memory blowup when predicting nnet output in parallel with foreach
I have a (large) neural net being trained by the nnet package in R. I want to be able to simulate predictions from this neural net, and do so in a parallelised fashion using something like foreach, which I've used before with success (all on a…

cmcsorley17
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error in nnet: “initial value in 'vmmin' is not finite”
I'm attempting to run a neural network model for the first time using nnet in r. When I supply a range of values to be given to the "size" argument, I get the following error:
Error in nnet.default(x, y, w, entropy = TRUE, ...) :
initial value in…

pd441
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NAs are not allowed in subscripted assignments: error in predicting probability
I am getting the following error when using the predict on a model that predicts probability of choosing a set of binary mutually exclusive outcomes. Using the multinom function of the nnet package.
Error in predict.multinom(model_name,…

matsuo_basho
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What is the interpretation of different formula in Multinom?
I want to run a multinomial logit regression using the multinom() function from the nnet R package. I need some help with the interpretation of different formulas. My dataset have 3 IV (age (3 levels) , presonality(4 levels)and Test(2 levels))an 1…

NOVA
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Multinomial Regression with all categorical predictors
I have a dataframe that is 10191x2. My predictor variable is categorical and my response is also categorical. Below are some of the rows of this dataset:
df
Partner Customer
A Alpha
A Beta
B …

nak5120
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Vector library in c++ is not linked
I am trying to compile and run my c++ code (it is an early version of my code to just check that it would compile). But when I am trying to compile it I get the error:
Undefined symbols for architecture…

Ruby K
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Why aren't these models produced in Caret identical?
I'm really trying to understand why two pieces of code don't produce identical models. To create the first neural network (NN1), I used (code below) cross validation in the train function of the Caret package to find the best parameters. Page 2 of…

rmacey
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R nnet plot bug?
I'm trying the library nnet with some simple examples.
library(MASS)
data(Boston)
boston = as.matrix(Boston)
library(nnet)
boston.nnet = nnet(medv~., data=Boston,rang=0.1,size=8,linout=T,maxit=1000)
It seems to work well, but when I try…

skan
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How to test joint parameter hypothesis in multinomial logit regression R?
I am trying to test the hypothesis of market efficiency in bookmaker odds for football matches. I have estimated a multinomial logit model with the mlogit package:
Model: outcome=log(P1/Px)+log(P2/Px)
where P1 is the implicit bookie probability of a…

Chebyshev
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Predict is use different class values Rstudio
I'm utilizing the titanic dataset to perform some neural network exercise. I split the dataset into train and test. I split the train into 80% and 20% to perform training. After cleaning everything I started training. Here is my code to train.
nfit…

redeemefy
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2 answers
Theano operations returning odd results
So I'm trying to learn how to use Theano and specifically use it for neural networks.
I'm on a Windows 10 system, using mingw64 and all the rest of the required files from the install page (with the exception of microsoft visual studio and cuda, as…

hyit
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1 answer
Caret - Train does not provide Accuracy SD to nnet model output
I am trying to train neural network model using the function "train" in "caret" package. But it gives a lot of warnings and does not show the accuracy SD. I am not sure if I have to set any parameters so that I can see the Accuracy SD.
I am…

user2742742
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R nnet package does not work anymore
I know it is a strange problem and I cannot even give a MRE but with hope that someone else have encountered the similar and solved it, I am posting the question.
I have been using Rattle with all available models.
I wanted to use the nnet…

mdk
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2 answers
predict target for new data using nnet R
I am facing problems with predict function in nnet package R.
I have trained a nnet model in R with train data , but when I try to predict for new test samples I am getting more results than the number of test samples.
My train data contains 3673…

raja
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1 answer
In eval(expr, envir, enclos) : model fit failed for Fold01:
I'm trying to use package caret and nnet together, but got the error below. I used warnings() to see what it is, but couldn't find anything on the internet. Please let me know. thanks.
> str(Std_data)
'data.frame': 1628 obs. of 18 variables:
$…

user1569341
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