mml_pt: A function to calculate the mml score of a polytree
In kelvinyangli/mbmml: Learn Markov blankets using Minimum Message Length
Description
This function calculates the mml score of a polytree. It searches through the space of all possible polytrees using
mml_cpt as the objective function.
Usage
1
mml_pt(mmlCPTCach, mbptsList, target, learnedMB)
Arguments
mmlCPTCach
A matrix of pre-calculated mml score of each node in a mb given its possible parents. This is done
using the mml_cpt_cach() function.
mbptsList
A list of all possible mbpts from mb size 0 up to 7.
target
A taregt node.
learnedMB
The learned mb of the target node.
kelvinyangli/mbmml documentation built on June 29, 2020, 3:12 a.m.
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Description
This function calculates the mml score of a polytree. It searches through the space of all possible polytrees using mml_cpt as the objective function.
Usage
1 | mml_pt(mmlCPTCach, mbptsList, target, learnedMB)
|
Arguments
mmlCPTCach |
A matrix of pre-calculated mml score of each node in a mb given its possible parents. This is done using the mml_cpt_cach() function. |
mbptsList |
A list of all possible mbpts from mb size 0 up to 7. |
target |
A taregt node. |
learnedMB |
The learned mb of the target node. |
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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