splitfn: Split function. As gradient and cost both calculated in...
In philipmgoddard/nnePtR: Neural Network Classifier
Description
Split function. As gradient and cost both calculated in backProp function
we want to cache values as optim will call the functions seperately (for fn and gr).
This closure splits the function, and will check if x (the par argument of optim)
changes between calls. Will retrieve cached values if not (i.e will calculate cost
and gradient for for fn, and retrieve cached values for gr)
Usage
1
splitfn(f)
Arguments
f
the function to be split
philipmgoddard/nnePtR documentation built on May 25, 2019, 5:04 a.m.
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Description
Split function. As gradient and cost both calculated in backProp function we want to cache values as optim will call the functions seperately (for fn and gr). This closure splits the function, and will check if x (the par argument of optim) changes between calls. Will retrieve cached values if not (i.e will calculate cost and gradient for for fn, and retrieve cached values for gr)
Usage
1 | splitfn(f)
|
Arguments
f |
the function to be split |
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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