search_delta_n_samples: Search the # of samples to ensure learning given an epsilon.

In shatteringdt: Provide SLT Tools for 'rpart' and 'tree' to Study Decision Trees

Description

Search the # of samples to ensure learning given an epsilon.

Usage

search_delta_n_samples(rpart.tree, n_samples, delta, epsilon)

Arguments

rpart.tree	rpart.tree. A Decision tree generated by rpart package.
n_samples	int. The # of samples to be used as initial value to search the minimum necessary to ensure learning.
delta	float. The initial value of delta (need to be greater than epsilon)
epsilon	float. The epsilon to be used in the delta calculation.

Value

the delta and n_samples values.

shatteringdt documentation built on March 3, 2021, 9:05 a.m.