Stump classifier

Stump classifier

StumpClassifier(bins = "auto")

Arguments

bins:

int, number of histogram bins.

Value

An object of class StumpClassifier

Examples

if (FALSE) {
library(datasets)

X <- as.matrix(iris[, 1:4])
y <- as.integer(iris[, 5]) - 1L

n <- dim(X)[1]
p <- dim(X)[2]
set.seed(21341)
train_index <- sample(x = 1:n, size = floor(0.8*n), replace = TRUE)
test_index <- -train_index
X_train <- as.matrix(iris[train_index, 1:4])
y_train <- as.integer(iris[train_index, 5]) - 1L
X_test <- as.matrix(iris[test_index, 1:4])
y_test <- as.integer(iris[test_index, 5]) - 1L


obj <- mlsauce::StumpClassifier()

print(obj$get_params())

obj$fit(X_train, y_train)

print(obj$score(X_test, y_test))}