compute_lp-forestry: compute lp distances

In soerenkuenzel/forestry: Forestry

Description

Return lp distances of selected test observations.

Usage

compute_lp(object, feature.new, feature, p)

Arguments

object	A trained model object of class "forestry".
feature.new	A data frame of testing predictors.
feature	A string denoting the dimension for computing lp distances.
p	A positive real number determining the norm p-norm used.

Value

A vector lp distances.

Examples

# Set seed for reproductivity
set.seed(292313)

# Use Iris Data
test_idx <- sample(nrow(iris), 11)
x_train <- iris[-test_idx, -1]
y_train <- iris[-test_idx, 1]
x_test <- iris[test_idx, -1]

rf <- forestry(x = x_train, y = y_train)
predict(rf, x_test)

# Compute the l2 distances in the "Petal.Length" dimension
distances_2 <- compute_lp(object = rf,
                          feature.new = x_test,
                          feature = "Petal.Length",
                          p = 2)

soerenkuenzel/forestry documentation built on April 25, 2021, 10:02 a.m.