nll_nb: NLL NB for a single data point
In kelvinyangli/mbmml: Learn Markov blankets using Minimum Message Length
Description
This is an auxiliary function to calculate the negative log likelihood of the Naive Bayes model for a
single data point given mle of parameters. That is, the function returns partial value of nll, without
calculating log(px). The complete value of nll is calculated in mml_nb().
Usage
1
nll_nb(dataPoint, pars, xIndices, yIndex)
Arguments
dataPoint
A single data point in the given data set.
pars
A list of MLE of NB parameters.
xIndices
A vector of input variables' indices.
yIndex
The index of the output variable.
kelvinyangli/mbmml documentation built on June 29, 2020, 3:12 a.m.
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Description
This is an auxiliary function to calculate the negative log likelihood of the Naive Bayes model for a single data point given mle of parameters. That is, the function returns partial value of nll, without calculating log(px). The complete value of nll is calculated in mml_nb().
Usage
1 | nll_nb(dataPoint, pars, xIndices, yIndex)
|
Arguments
dataPoint |
A single data point in the given data set. |
pars |
A list of MLE of NB parameters. |
xIndices |
A vector of input variables' indices. |
yIndex |
The index of the output variable. |
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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