model_nbr: A naive Bayes label ranking model
In labelrank: Predicting Rankings of Labels
Description
Usage
Arguments
Value
Description
This is an auxiliary function to build a necessary inputs to predict rankings.
Usage
1
Arguments
x
is n x p matrix of n observations and p training attributes and can have continuous or nominal values.
y
is n x j matrix of training rankings (permutations).
n
is a parameter of 'memory'; that is, how fast past gets forgotten. (see details of time_weights).
Value
a list of size two: prior and conditional label ranking probabilities.
labelrank documentation built on May 2, 2019, 11:10 a.m.
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Description Usage Arguments Value
Description
This is an auxiliary function to build a necessary inputs to predict rankings.
Usage
1 |
Arguments
x |
is |
y |
is |
n |
is a parameter of 'memory'; that is, how fast past gets forgotten. (see details of time_weights). |
Value
a list of size two: prior and conditional label ranking probabilities.
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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