BLNN_GetWts: Extract the vector of network weights from a BLNN object
In BLNNdevs/BLNN: Bayesian Learning for Artificial Neural Networks
Description
Usage
Arguments
Value
Description
Allows the user to extract all weight values from a BLNN network.
object.
Usage
1
BLNN_GetWts(Network)
Arguments
Network
A BLNN network object
Value
A vector containing all weight parameters from the network. The weights are sorted
by imput, having all weights from covariate one that connect to hidden node 1:n. Each
subsequent covariates weights for layer one are saved in this order followed by
the weights associated with the bias term for layer one. Layer two weights follow
a similar format having each hidden units weighes followed by bias weights.
BLNNdevs/BLNN documentation built on Dec. 10, 2019, 3:31 a.m.
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Description Usage Arguments Value
Description
Allows the user to extract all weight values from a BLNN network. object.
Usage
1 | BLNN_GetWts(Network)
|
Arguments
Network |
A BLNN network object |
Value
A vector containing all weight parameters from the network. The weights are sorted by imput, having all weights from covariate one that connect to hidden node 1:n. Each subsequent covariates weights for layer one are saved in this order followed by the weights associated with the bias term for layer one. Layer two weights follow a similar format having each hidden units weighes followed by bias weights.
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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