I'm in the process of attempting to learn to work with neural networks in R. As a learning problem, I've been using the following problem over at Kaggle:

Don't worry, this problem is specifically designed for people to learn with, there's no reward tied to it.

I started with a simple logistic regression, which was great for getting my feet wet. Now I'd like to learn to work with neural networks. My training data looks like this (Column:Row):

- survived: 1
- pclass:   3
- sex:      male
- age:      22.0
- sibsp:    1
- parch:    0
- ticket:   PC 17601
- fare:     7.25
- cabin:    C85
- embarked: S

My starting R code looks like this:

> net <- neuralnet(survived ~ pclass + sex + age + sibsp +
                   parch + ticket + fare + cabin + embarked, 
                   train, hidden=10, threshold=0.01)

When I run this line of code I get the following error:

Error in neurons[[i]] %*% weights[[i]] : 
  requires numeric/complex matrix/vector arguments

I understand that the problem is in the way I'm presenting my input variables but I'm too much of a novice to understand what I need to do to correct this. Can anyone help?

Thanks!

r regression prediction kaggle
Edit
Report