mle_nb: MLE of NB parameters
In kelvinyangli/mbmml: Learn Markov blankets using Minimum Message Length
Description
Maximum likelihood of Naive Bayes parameters. Input parameters are always stored in front of output
parameter in the returned list of parameters.
Usage
1
Arguments
data
A categorical data set.
vars
A vector of all variables.
xIndices
A vector of input variables indices.
yIndex
The output variable index.
smoothing
A value for parameter smoothing to avoid having 0 or 1 probabilities. 1 for laplacing
smoothing, 0.5 for mml smoothing.
kelvinyangli/mbmml documentation built on June 29, 2020, 3:12 a.m.
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Description
Maximum likelihood of Naive Bayes parameters. Input parameters are always stored in front of output parameter in the returned list of parameters.
Usage
1 |
Arguments
data |
A categorical data set. |
vars |
A vector of all variables. |
xIndices |
A vector of input variables indices. |
yIndex |
The output variable index. |
smoothing |
A value for parameter smoothing to avoid having 0 or 1 probabilities. 1 for laplacing smoothing, 0.5 for mml smoothing. |
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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