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cbd88fe5 BA |
1 | # Helper to generate a random series of matrices to align |
2 | .generateMatrices = function(d, K, N, noise) | |
3 | { | |
6dd5c2ac | 4 | matrices = list( matrix(runif(d*K, min=-1, max=1),ncol=K) ) #reference |
2b3a6af5 | 5 | for (i in 2:(N+1)) |
6dd5c2ac BA |
6 | { |
7 | matrices[[i]] <- matrices[[1]][,sample(1:K)] | |
8 | if (noise) | |
9 | matrices[[i]] = matrices[[i]] + matrix(rnorm(d*K, sd=0.05), ncol=K) | |
10 | } | |
11 | matrices | |
cbd88fe5 BA |
12 | } |
13 | ||
14 | test_that("labelSwitchingAlign correctly aligns de-noised parameters", | |
15 | { | |
2b3a6af5 BA |
16 | N <- 30 #number of matrices |
17 | d_K_list <- list(c(2,2), c(5,3)) | |
6dd5c2ac BA |
18 | for (i in 1:2) |
19 | { | |
2b3a6af5 BA |
20 | d <- d_K_list[[i]][1] |
21 | K <- d_K_list[[i]][2] | |
cbd88fe5 | 22 | |
6dd5c2ac | 23 | # 1] Generate matrix series |
2b3a6af5 | 24 | Ms <- .generateMatrices(d, K, N, noise=FALSE) |
cbd88fe5 | 25 | |
6dd5c2ac | 26 | # 2] Call align function with mode=approx1 |
2b3a6af5 | 27 | aligned <- alignMatrices(Ms[2:(N+1)], ref=Ms[[1]], ls_mode="approx1") |
cbd88fe5 | 28 | |
6dd5c2ac | 29 | # 3] Check alignment |
2b3a6af5 BA |
30 | for (j in 1:N) |
31 | expect_equal(aligned[[j]], Ms[[1]]) | |
cbd88fe5 | 32 | |
6dd5c2ac | 33 | # 2bis] Call align function with mode=approx2 |
2b3a6af5 | 34 | aligned <- alignMatrices(Ms[2:(N+1)], ref=Ms[[1]], ls_mode="approx2") |
cbd88fe5 | 35 | |
6dd5c2ac | 36 | # 3bis] Check alignment |
2b3a6af5 BA |
37 | for (j in 1:N) |
38 | expect_equal(aligned[[j]], Ms[[1]]) | |
6dd5c2ac | 39 | } |
cbd88fe5 BA |
40 | }) |
41 | ||
42 | test_that("labelSwitchingAlign correctly aligns noisy parameters", | |
43 | { | |
2b3a6af5 BA |
44 | N <- 30 #number of matrices |
45 | d_K_list <- list(c(2,2), c(5,3)) | |
6dd5c2ac BA |
46 | for (i in 1:2) |
47 | { | |
2b3a6af5 BA |
48 | d <- d_K_list[[i]][1] |
49 | K <- d_K_list[[i]][2] | |
50 | max_error <- d * 0.2 #TODO: what value to choose ? | |
cbd88fe5 | 51 | |
6dd5c2ac | 52 | # 1] Generate matrix series |
2b3a6af5 | 53 | Ms <- .generateMatrices(d, K, N, noise=TRUE) |
cbd88fe5 | 54 | |
6dd5c2ac | 55 | # 2] Call align function |
2b3a6af5 | 56 | aligned <- alignMatrices(Ms[2:(N+1)], ref=Ms[[1]], ls_mode="exact") |
cbd88fe5 | 57 | |
6dd5c2ac BA |
58 | # 3] Check alignment |
59 | for (j in 2:N) | |
ab35f610 | 60 | expect_lt( norm(aligned[[j]] - Ms[[1]]), max_error ) |
6dd5c2ac | 61 | } |
cbd88fe5 | 62 | }) |