Model inputs are the predictor and response variables whose relationship is determined by a model fit. Input specifications supported by MachineShop are summarized in the table below.
formula  Traditional model formula 
matrix  Design matrix of predictors 
ModelFrame  Model frame 
recipe  Preprocessing recipe roles and steps 
Response variable types in the input specifications are defined by the user with the functions and recipe roles:
Response Functions  BinomialVariate 
DiscreteVariate 

factor 

matrix 

NegBinomialVariate 

numeric 

ordered 

PoissonVariate 

Surv 

Recipe Roles  role_binom 
role_surv 

Inputs may be combined, selected, or tuned with the following metainput functions.
ModeledInput  Input with a prespecified model 
SelectedInput  Input selection from a candidate set 
TunedInput  Input tuning over a parameter grid 
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