title: H2O adding extra neuron to read-in
body: <p>I have a train-dataset (forest cover type) which has 10 continuous variables and then 2 categorical (with 40 and 4 levels). So it seems to me that my read-in layer should contain 54 neurons (I am using 1-of-C). Similarly I found another version of the data (<a href="https://archive.ics.uci.edu/ml/datasets/Covertype" rel="nofollow noreferrer">here</a>), which indeed claims 54 attributes.</p>
  
  <p>Below is my representation of my model:
  <a href="https://i.stack.imgur.com/VQxn8.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/VQxn8.png" alt="enter image description here"></a></p>
  
  <p><strong>The problem is that when I use H2O in R; it tells me I have 204,707 params (and 56 neurons in the first layer). I don't understand why it breaks (or how) the categorical into N+1? I checked and there are no missing values</strong></p>