classifier_bnet: Multinet classifier using bnet
In gherardovarando/Rbnet: Define and Manage Bayesian Networks
Description
Usage
Arguments
Value
Description
Learn a multi net classifier unsing bnet, in particular learn a model
where for every class value a bnet object is estimated.
As particular case naive Bayes (bnets=NULL).
Usage
1
2
Arguments
targets
predictors
prior
string, NULL, or vector of positive numbers
data
data set of observations
bnets
optionally a list of bnet object, one for each class value
Value
a classifier_bnet object
gherardovarando/Rbnet documentation built on May 17, 2019, 4:18 a.m.
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Description Usage Arguments Value
Description
Learn a multi net classifier unsing bnet, in particular learn a model
where for every class value a bnet object is estimated.
As particular case naive Bayes (bnets=NULL).
Usage
1 2 |
Arguments
targets |
|
predictors |
|
prior |
string, NULL, or vector of positive numbers |
data |
data set of observations |
bnets |
optionally a list of bnet object, one for each class value |
Value
a classifier_bnet object
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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