compute_lp-forestry {Rforestry} | R Documentation |
compute lp distances
Description
return lp ditances of selected test observations.
Usage
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. |
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)
[Package Rforestry version 0.11.1.0 Index]