title: using softmax in nnet R for target column with more than 2 states
body: <p>I am using the nnet package for classification of a target column with 3 states</p>
  
  <pre><code>model &lt;- nnet(targetcolumn ~ ., data=DATAFRAME)
  </code></pre>
  
  <p>But I want it to use entropy instead of default softmax and when I set softmax=false , it fails with the error :</p>
  
  <pre><code>model &lt;- nnet(targetcolumn ~ ., data=DATAFRAME, maxit=1000, MaxNWts=10000,softmax=FALSE, entropy=TRUE)
  
  Error in nnet.default(x, y, w, softmax = false, ...) : 
    formal argument "softmax" matched by multiple actual arguments
  </code></pre>
  
  <p>Is there a way to somehow use entropy modelling in this scenario?</p>