Summary method for the nn function

# S3 method for nn
summary(object, prn = TRUE, ...)

Arguments

object

Return value from nn

prn

Print list of weights

...

further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/model/nn.html for an example in Radiant

See also

nn to generate results

plot.nn to plot results

predict.nn for prediction

Examples

result <- nn(titanic, "survived", "pclass", lev = "Yes") summary(result)
#> Neural Network #> Activation function : Logistic (classification) #> Data : titanic #> Response variable : survived #> Level : Yes in survived #> Explanatory variables: pclass #> Network size : 1 #> Parameter decay : 0.5 #> Network : 2-1-1 with 5 weights #> Nr obs : 1,043 #> Weights : #> b->h1 i1->h1 i2->h1 #> -0.96 1.02 2.32 #> b->o h1->o #> 1.19 -2.73