make_cll_gradient: Returns a function to compute the gradient of negative...
In bmihaljevic/bnclassify: Learning Discrete Bayesian Network Classifiers from Data
View source: R/learn-params-wanbia.R
make_cll_gradient R Documentation
Returns a function to compute the gradient of negative conditional log-likelihood with respect to feature weights
Description
Returns a function to compute the gradient of negative conditional log-likelihood with respect to feature weights
Usage
make_cll_gradient(class_var, dataset)
bmihaljevic/bnclassify documentation built on March 18, 2024, 8:34 a.m.
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View source: R/learn-params-wanbia.R
| make_cll_gradient | R Documentation |
Returns a function to compute the gradient of negative conditional log-likelihood with respect to feature weights
Description
Returns a function to compute the gradient of negative conditional log-likelihood with respect to feature weights
Usage
make_cll_gradient(class_var, dataset)
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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