log_likelihood: Calculates normal log-likelihood of neural network
In andrew-mcinerney/nnic: Statistical-modelling approach to Neural Network
log_likelihood R Documentation
Calculates normal log-likelihood of neural network
Description
Calculates normal log-likelihood of neural network
Usage
log_likelihood(W, X, Y, q)
Arguments
W
Weight vector
X
Input data
Y
Output data
q
Number of hidden units
Value
log-likelihood value
andrew-mcinerney/nnic documentation built on Dec. 9, 2022, 1:26 p.m.
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| log_likelihood | R Documentation |
Calculates normal log-likelihood of neural network
Description
Calculates normal log-likelihood of neural network
Usage
log_likelihood(W, X, Y, q)
Arguments
W |
Weight vector |
X |
Input data |
Y |
Output data |
q |
Number of hidden units |
Value
log-likelihood value
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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