discretize_rpart: Dicretizing Continous Values by Decision Tree
In karabanb/BKmisc:
View source: R/discretize_rpart.R
Description
Dicretizing Continous Values by Decision Tree
Usage
1
discretize_rpart(x, y, maxdepth = 2, minbucket = 10)
Arguments
x
- data.frame with continues variables
y
- Target binary variable
maxdepth
- parameter from rpart::rpart.control. It sets number of expected bins.
minbucket
- parameter from rpart::rpart.control. It sets minumum size of bin.
karabanb/BKmisc documentation built on March 29, 2021, 7:56 a.m.
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View source: R/discretize_rpart.R
Description
Dicretizing Continous Values by Decision Tree
Usage
1 | discretize_rpart(x, y, maxdepth = 2, minbucket = 10)
|
Arguments
x |
- data.frame with continues variables |
y |
- Target binary variable |
maxdepth |
- parameter from rpart::rpart.control. It sets number of expected bins. |
minbucket |
- parameter from rpart::rpart.control. It sets minumum size of bin. |
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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