h2o_naiveBayes_train: Wrapper for training a h2o.naiveBayes model as part of a...
In stevenpawley/h2oparsnip: Model Wrappers for H2O models
h2o_naiveBayes_train R Documentation
Wrapper for training a h2o.naiveBayes model as part of a discrim 'naive_Bayes'
h2o engine
Description
Wrapper for training a h2o.naiveBayes model as part of a discrim 'naive_Bayes'
h2o engine
Usage
h2o_naiveBayes_train(formula, data, laplace = 0, ...)
Arguments
formula
formula
data
data.frame of training data
laplace
numeric, the Laplace smoothing parameter, must be >= 0.
...
other arguments passed to the h2o engine.
Value
a fitted h2o model.
stevenpawley/h2oparsnip documentation built on June 20, 2022, 12:48 p.m.
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| h2o_naiveBayes_train | R Documentation |
Wrapper for training a h2o.naiveBayes model as part of a discrim 'naive_Bayes' h2o engine
Description
Wrapper for training a h2o.naiveBayes model as part of a discrim 'naive_Bayes' h2o engine
Usage
h2o_naiveBayes_train(formula, data, laplace = 0, ...)
Arguments
formula |
formula |
data |
data.frame of training data |
laplace |
numeric, the Laplace smoothing parameter, must be >= 0. |
... |
other arguments passed to the h2o engine. |
Value
a fitted h2o model.
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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