Description Usage Arguments Details Value See Also
Predict new examples in conjunction with
osnnet
.
1 2 3 |
object |
Object of class |
newdata |
A |
type |
Type of output. |
... |
Arguments passed to or from other methods. |
This function is a method for the generic function
predict()
for class "osnnet"
. It can be
invoked by calling predict(x)
for an object
x
of the appropriate class, or directly by calling
predict.osnnet(x)
regardless of the class of the
object.
If the response in formula
is a factor,
appropriate classification networks are constructed;
these have one output and entropy fit if the number of
levels is two, and a number of outputs equal to the
number of classes and a softmax output stage for more
levels. If the response is not a factor, it is passed on
unchanged to predict.osnnet
.
Optimization is done via the BFGS method of
optim
.
If type = "raw"
, the matrix of values returned by
the trained network; if type = "class"
, the
corresponding class (which is probably only useful if the
net was generated by osnnet.formula
).
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