NaiveBayesModel: Naive Bayes Classifier Model
In brian-j-smith/MachineShop: Machine Learning Models and Tools
View source: R/ML_NaiveBayesModel.R
NaiveBayesModel R Documentation
Naive Bayes Classifier Model
Description
Computes the conditional a-posterior probabilities of a categorical class
variable given independent predictor variables using Bayes rule.
Usage
NaiveBayesModel(laplace = 0)
Arguments
laplace
positive numeric controlling Laplace smoothing.
Details
- Response types:
factor
Further model details can be found in the source link below.
Value
MLModel class object.
See Also
naiveBayes, fit,
resample
Examples
## Requires prior installation of suggested package e1071 to run
fit(Species ~ ., data = iris, model = NaiveBayesModel)
brian-j-smith/MachineShop documentation built on Sept. 22, 2023, 10:01 p.m.
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View source: R/ML_NaiveBayesModel.R
| NaiveBayesModel | R Documentation |
Naive Bayes Classifier Model
Description
Computes the conditional a-posterior probabilities of a categorical class variable given independent predictor variables using Bayes rule.
Usage
NaiveBayesModel(laplace = 0)
Arguments
laplace |
positive numeric controlling Laplace smoothing. |
Details
- Response types:
factor
Further model details can be found in the source link below.
Value
MLModel class object.
See Also
naiveBayes, fit,
resample
Examples
## Requires prior installation of suggested package e1071 to run
fit(Species ~ ., data = iris, model = NaiveBayesModel)
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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