initialize-nnePtR-method: Initializor to catch input errors
In philipmgoddard/nnePtR: Neural Network Classifier

Initializor to catch input errors

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## S4 method for signature 'nnePtR'
initialize(.Object, input, outcome, levels, n_layers,
  n_units, penalty, cost, fitted_params, info)

`.Object`	object of class nnePtR
`input`	matrix of inputs. Dimensions are (n training samples x n features)
`outcome`	factor variable for outcome
`levels`	character vector of levels of outcome
`n_layers`	number of hidden layers in the network
`n_units`	number of units in the hidden layers
`penalty`	penalty term (weight decay)
`cost`	final cost obtained through optimisation
`fitted_params`	list of matrices holding the fitted parameters
`info`	list containing infomation from optimisation