search_n_samples: Executes a binary search to find the best # of samples.
In shatteringdt: Provide SLT Tools for 'rpart' and 'tree' to Study Decision Trees
Description
Usage
Arguments
Value
View source: R/search_n_samples.R
Description
Executes a binary search to find the best # of samples.
Usage
1
search_n_samples(rpart.tree, lower, upper, epsilon)
Arguments
rpart.tree
rpart.tree. A Decision tree generated by rpart package.
lower
int. The # of samples to be used in lower_delta calculation.
upper
int. The # of samples to be used in upper_delta calculation.
epsilon
float. The epsilon to be used in the delta calculation.
Value
the number of samples needed to ensure learning.
shatteringdt documentation built on March 3, 2021, 9:05 a.m.
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Description Usage Arguments Value
View source: R/search_n_samples.R
Description
Executes a binary search to find the best # of samples.
Usage
1 | search_n_samples(rpart.tree, lower, upper, epsilon)
|
Arguments
rpart.tree |
rpart.tree. A Decision tree generated by rpart package. |
lower |
int. The # of samples to be used in lower_delta calculation. |
upper |
int. The # of samples to be used in upper_delta calculation. |
epsilon |
float. The epsilon to be used in the delta calculation. |
Value
the number of samples needed to ensure learning.
shatteringdt documentation built on March 3, 2021, 9:05 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.
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