compute_lp-forestry function

compute lp distances

return lp ditances of selected test observations.

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

Arguments

• object: A forestry object.
• 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.

Returns

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)