coord_cut: Utility functions for working with Bayesian classifier Create...
In tbonza/supml: "Algorithms for Supervised Machine Learning"
Description
Usage
Arguments
Value
Description
Bayesian classification for a spatial matrix
requires that we normalize coordinates.
Usage
1
Arguments
x
numeric vector
nbreaks
number of buckets for factor
Value
factor vector
tbonza/supml documentation built on May 17, 2019, 3:14 a.m.
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Description Usage Arguments Value
Description
Bayesian classification for a spatial matrix requires that we normalize coordinates.
Usage
1 |
Arguments
x |
numeric vector |
nbreaks |
number of buckets for factor |
Value
factor vector
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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