nn_effect: Effect of input
In andrew-mcinerney/nnic: Statistical-modelling approach to Neural Network
View source: R/var_importance.R
nn_effect R Documentation
Effect of input
Description
Effect of input
Usage
nn_effect(
X,
ind,
W,
q,
val = rep(0, ncol(X)),
length = 100,
range = c(-3, 3),
sigma = 0
)
Arguments
X
input matrix
W
weight vector
val
value of input units
length
length of vector to be calculated
range
range of values to be computed
i
Variable index
h
number of hidden units
Value
Effect of variable
andrew-mcinerney/nnic documentation built on Dec. 9, 2022, 1:26 p.m.
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View source: R/var_importance.R
| nn_effect | R Documentation |
Effect of input
Description
Effect of input
Usage
nn_effect( X, ind, W, q, val = rep(0, ncol(X)), length = 100, range = c(-3, 3), sigma = 0 )
Arguments
X |
input matrix |
W |
weight vector |
val |
value of input units |
length |
length of vector to be calculated |
range |
range of values to be computed |
i |
Variable index |
h |
number of hidden units |
Value
Effect of variable
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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