splitDnnet: A function to split the 'dnnetInput' object into a list of...
In SkadiEye/dnnet: Deep Neural Nets (Multilayer Perceptrons)
Description
Usage
Arguments
Value
See Also
Description
A function to split the dnnetInput object into a list of two dnnetInput objects:
one names train and the other named valid.
Usage
1
splitDnnet(object, split)
Arguments
object
A dnnetInput object.
split
A character, numeric variable or a numeric vector declaring a way to split
the dnnetInput. If it's number between 0 and 1, all samples will be split into two subsets
randomly, with the train containing such proportion of all samples and valid containing
the rest. If split is a character and is "bootstrap", the train will be a bootstrap sample
of the original data set and the valid will contain out-of-bag samples. If split is a vector
of integers, the train will contain samples whose indice are in the vector, and valid will
contain the rest.
Value
Returns a list of two dnnetInput objects.
See Also
SkadiEye/dnnet documentation built on March 26, 2020, 8:13 a.m.
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Description Usage Arguments Value See Also
Description
A function to split the dnnetInput object into a list of two dnnetInput objects:
one names train and the other named valid.
Usage
1 | splitDnnet(object, split)
|
Arguments
object |
A |
split |
A character, numeric variable or a numeric vector declaring a way to split
the |
Value
Returns a list of two dnnetInput objects.
See Also
R Package Documentation
Browse R Packages
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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