nnetRep: Fit a Neural Network Repeatedly for Different Starting Values
In schiffner/locClass: Collection of Local Classification Methods
Description
Usage
Arguments
Value
See Also
Examples
Description
Fit a neural network repeatedly for different starting values.
Usage
1
Arguments
reps
Number of repetitions. Defaults to 1. reps larger one does not make sense if Wts is specified.
...
Further arguments to nnet.
Value
An object of class "nnet".
See Also
nnet.
Examples
1
2
schiffner/locClass documentation built on May 29, 2019, 3:39 p.m.
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Description Usage Arguments Value See Also Examples
Description
Fit a neural network repeatedly for different starting values.
Usage
1 |
Arguments
reps |
Number of repetitions. Defaults to 1. |
... |
Further arguments to |
Value
An object of class "nnet".
See Also
nnet.
Examples
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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