fit_decision_tree-DecisionTreeClassifier-method: Fit decision tree

In SSLR: Semi-Supervised Classification, Regression and Clustering Methods

Description

method in class DecisionTreeClassifier used to build a Decision Tree

Usage

## S4 method for signature 'DecisionTreeClassifier'
fit_decision_tree(
  object,
  X,
  y,
  min_samples_split = 20,
  min_samples_leaf = ceiling(min_samples_split/3),
  w = 0.5
)

Arguments

object	A DecisionTreeClassifier object
X	A object that can be coerced as data.frame. Training instances
y	A vector with the labels of the training instances. In this vector the unlabeled instances are specified with the value NA.
min_samples_split	the minimum number of observations to do split
min_samples_leaf	the minimum number of any terminal leaf node
w	weight parameter ranging from 0 to 1

SSLR documentation built on July 22, 2021, 9:08 a.m.