Nothing
context("Features: ELA - Local Search")
test_that("Require original function", {
set.seed(2015*03*26)
# (1) create a feature object:
X = t(replicate(n = 2000L, expr = runif(n = 5L, min = -10L, max = 10L)))
feat.object = createFeatureObject(X = X, y = rowSums(X^2))
# (2) compute the local search features
expect_error(calculateFeatureSet(feat.object, "ela_local"))
})
test_that("Expected output - minimization", {
set.seed(2015*03*26)
# (1) create a feature object:
X = t(replicate(n = 2000L, expr = runif(n = 5L, min = -10L, max = 10L)))
feat.object = createFeatureObject(X = X, fun = function(x) sum(x^2))
# (2) compute the meta model features
features = calculateFeatureSet(feat.object, "ela_local")
# test return values
expect_identical(length(features), 16L)
expect_list(features)
expect_identical(as.character(sapply(features, class)),
c("integer", rep("numeric", 6L), "integer", rep("numeric", 4L),
rep(c("integer", "numeric"), 2L)))
expect_true(testNumber(features$ela_local.n_loc_opt.abs, lower = 0L))
expect_true(testNumber(features$ela_local.n_loc_opt.rel, lower = 0L, upper = 1L))
expect_true(testNumber(features$ela_local.best2mean_contr.orig))
expect_true(testNumber(features$ela_local.best2mean_contr.ratio, lower = 0L, upper = 1L))
expect_true(testNumber(features$ela_local.basin_sizes.avg_best, lower = 0L, upper = 1L))
expect_true(testNumber(features$ela_local.basin_sizes.avg_non_best, lower = 0L, upper = 1L))
expect_true(testNumber(features$ela_local.basin_sizes.avg_worst, lower = 0L, upper = 1L))
expect_true(testNumber(features$ela_local.fun_evals.min, lower = 0L))
expect_true(testNumber(features$ela_local.fun_evals.lq, lower = 0L))
expect_true(testNumber(features$ela_local.fun_evals.mean, lower = 0L))
expect_true(testNumber(features$ela_local.fun_evals.med, lower = 0L))
expect_true(testNumber(features$ela_local.fun_evals.uq, lower = 0L))
expect_true(testNumber(features$ela_local.fun_evals.max, lower = 0L))
expect_true(testNumber(features$ela_local.costs_fun_evals, lower = 0L))
expect_true(testNumber(features$ela_local.costs_runtime, lower = 0L))
# test order of function evaluation features
fun_eval_features = features[grep("fun_evals", names(features))]
x = unlist(fun_eval_features[grep("min|lq|med|uq|max|costs", names(fun_eval_features))])
expect_true(all(diff(x) >= 0))
x = unlist(fun_eval_features[grep("min|mean|max|costs", names(fun_eval_features))])
expect_true(all(diff(x) >= 0))
})
test_that("Expected output - maximization", {
set.seed(2015*03*26)
# (1) create a feature object:
X = t(replicate(n = 2000L, expr = runif(n = 5L, min = -10L, max = 10L)))
feat.object = createFeatureObject(X = X, fun = function(x) -sum(x^2), minimize = FALSE)
# (2) compute the meta model features
features = calculateFeatureSet(feat.object, "ela_local")
# test return values
expect_identical(length(features), 16L)
expect_list(features)
expect_identical(as.character(sapply(features, class)),
c("integer", rep("numeric", 6L), "integer", rep("numeric", 4L),
rep(c("integer", "numeric"), 2L)))
expect_true(testNumber(features$ela_local.n_loc_opt.abs, lower = 0L))
expect_true(testNumber(features$ela_local.n_loc_opt.rel, lower = 0L, upper = 1L))
expect_true(testNumber(features$ela_local.best2mean_contr.orig))
expect_true(testNumber(features$ela_local.best2mean_contr.ratio, lower = 0L, upper = 1L))
expect_true(testNumber(features$ela_local.basin_sizes.avg_best, lower = 0L, upper = 1L))
expect_true(testNumber(features$ela_local.basin_sizes.avg_non_best, lower = 0L, upper = 1L))
expect_true(testNumber(features$ela_local.basin_sizes.avg_worst, lower = 0L, upper = 1L))
expect_true(testNumber(features$ela_local.fun_evals.min, lower = 0L))
expect_true(testNumber(features$ela_local.fun_evals.lq, lower = 0L))
expect_true(testNumber(features$ela_local.fun_evals.mean, lower = 0L))
expect_true(testNumber(features$ela_local.fun_evals.med, lower = 0L))
expect_true(testNumber(features$ela_local.fun_evals.uq, lower = 0L))
expect_true(testNumber(features$ela_local.fun_evals.max, lower = 0L))
expect_true(testNumber(features$ela_local.costs_fun_evals, lower = 0L))
expect_true(testNumber(features$ela_local.costs_runtime, lower = 0L))
# test order of function evaluation features
fun_eval_features = features[grep("fun_evals", names(features))]
x = unlist(fun_eval_features[grep("min|lq|med|uq|max|costs", names(fun_eval_features))])
expect_true(all(diff(x) >= 0))
x = unlist(fun_eval_features[grep("min|mean|max|costs", names(fun_eval_features))])
expect_true(all(diff(x) >= 0))
})
test_that("Show Error", {
feat.object = createFeatureObject(init = iris[, -5],
objective = "Sepal.Length")
expect_error(calculateFeatureSet(feat.object, "ela_local"))
feat.object = createFeatureObject(init = iris[, -5],
objective = "Sepal.Length", fun = function(x) sum(x^2))
expect_error(calculateFeatureSet(feat.object, "ela_local",
control = list(allow_costs = FALSE)))
})
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