fit.bayes: Fit training data to Bayesian Classifier
In tbonza/supml: "Algorithms for Supervised Machine Learning"
Description
Usage
Arguments
Value
Description
We want to assign models to each class,
accounting for continuous and categorical
variables. We also handle spatial data.
Log priors are used to avoide issues with
floating point.
Usage
1
2
Arguments
object
bayes s3 object
X
feature matrix
y
target vector
Value
obj updated bayes s3 object
tbonza/supml documentation built on May 17, 2019, 3:14 a.m.
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.
Description Usage Arguments Value
Description
We want to assign models to each class, accounting for continuous and categorical variables. We also handle spatial data. Log priors are used to avoide issues with floating point.
Usage
1 2 |
Arguments
object |
bayes s3 object |
X |
feature matrix |
y |
target vector |
Value
obj updated bayes s3 object
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.