Summary method for the nn function
# S3 method for nn summary(object, prn = TRUE, ...)
object | Return value from |
---|---|
prn | Print list of weights |
... | further arguments passed to or from other methods |
See https://radiant-rstats.github.io/docs/model/nn.html for an example in Radiant
nn
to generate results
plot.nn
to plot results
predict.nn
for prediction
#> 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