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authorGertjan van den Burg <gertjanvandenburg@gmail.com>2018-03-27 19:24:03 +0100
committerGertjan van den Burg <gertjanvandenburg@gmail.com>2018-03-27 19:24:03 +0100
commitd83e911fe228571171f9ddc379708dc37c4bfddf (patch)
treefc396f91eaf92010ef0db33e0bb3b084e69402ac /tests/src/test_gensvm_kernel.c
parentupdate training file for zip dataset (diff)
downloadgensvm-d83e911fe228571171f9ddc379708dc37c4bfddf.tar.gz
gensvm-d83e911fe228571171f9ddc379708dc37c4bfddf.zip
Major bugfix for nonlinear GenSVM
Nonlinear GenSVM depends on the eigendecomposition of the kernel matrix. Mathematically, the Sigma vector in the code should contain the square root of the eigenvalues. Taking the square root was however neglected, which resulted in poor performance of nonlinear GenSVM. This is now fixed, which means that the performance of nonlinear GenSVM will be much better.
Diffstat (limited to 'tests/src/test_gensvm_kernel.c')
-rw-r--r--tests/src/test_gensvm_kernel.c183
1 files changed, 104 insertions, 79 deletions
diff --git a/tests/src/test_gensvm_kernel.c b/tests/src/test_gensvm_kernel.c
index cf1d4db..b075bc5 100644
--- a/tests/src/test_gensvm_kernel.c
+++ b/tests/src/test_gensvm_kernel.c
@@ -326,245 +326,269 @@ char *test_kernel_preprocess_kernel()
mu_assert(data->r == 7, "Incorrect data->r");
double eps = 1e-14;
+
+ mu_assert(fabs(matrix_get(data->Sigma, 1, 0, 0) -
+ 2.7638223432435374) < eps,
+ "Incorrect data->Sigma at 0, 0");
+ mu_assert(fabs(matrix_get(data->Sigma, 1, 1, 0) -
+ 0.8989108618424078) < eps,
+ "Incorrect data->Sigma at 1, 0");
+ mu_assert(fabs(matrix_get(data->Sigma, 1, 2, 0) -
+ 0.8492992522024180) < eps,
+ "Incorrect data->Sigma at 2, 0");
+ mu_assert(fabs(matrix_get(data->Sigma, 1, 3, 0) -
+ 0.6551312398422764) < eps,
+ "Incorrect data->Sigma at 3, 0");
+ mu_assert(fabs(matrix_get(data->Sigma, 1, 4, 0) -
+ 0.4151267289513675) < eps,
+ "Incorrect data->Sigma at 4, 0");
+ mu_assert(fabs(matrix_get(data->Sigma, 1, 5, 0) -
+ 0.3219015071458272) < eps,
+ "Incorrect data->Sigma at 5, 0");
+ mu_assert(fabs(matrix_get(data->Sigma, 1, 6, 0) -
+ 0.2206142024294812) < eps,
+ "Incorrect data->Sigma at 6, 0");
+
+
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 0, 0)) -
fabs(1.0000000000000000)) < eps,
"Incorrect data->Z at 0, 0");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 0, 1)) -
- fabs(2.4632837902141640)) < eps,
+ fabs(0.8912598149573278)) < eps,
"Incorrect data->Z at 0, 1");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 0, 2)) -
- fabs(-0.3037489220604925)) < eps,
+ fabs(-0.3379077225053534)) < eps,
"Incorrect data->Z at 0, 2");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 0, 3)) -
- fabs(-0.0061287029147240)) < eps,
+ fabs(-0.0072161878146390)) < eps,
"Incorrect data->Z at 0, 3");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 0, 4)) -
- fabs(0.1822712619914593)) < eps,
+ fabs(0.2782209897902920)) < eps,
"Incorrect data->Z at 0, 4");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 0, 5)) -
- fabs(0.0252737053303148)) < eps,
+ fabs(0.0608819032061786)) < eps,
"Incorrect data->Z at 0, 5");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 0, 6)) -
- fabs(-0.0078753266252524)) < eps,
+ fabs(-0.0244650194249782)) < eps,
"Incorrect data->Z at 0, 6");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 0, 7)) -
- fabs(-0.0012800124996018)) < eps,
+ fabs(-0.0058020403287988)) < eps,
"Incorrect data->Z at 0, 7");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 1, 0)) -
fabs(1.0000000000000000)) < eps,
"Incorrect data->Z at 1, 0");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 1, 1)) -
- fabs(2.2923640983040641)) < eps,
+ fabs(0.8294180354638190)) < eps,
"Incorrect data->Z at 1, 1");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 1, 2)) -
- fabs(-0.3048037728463330)) < eps,
+ fabs(-0.3390811990207864)) < eps,
"Incorrect data->Z at 1, 2");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 1, 3)) -
- fabs(-0.2586192720897897)) < eps,
+ fabs(-0.3045090071834334)) < eps,
"Incorrect data->Z at 1, 3");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 1, 4)) -
- fabs(0.1747912247100736)) < eps,
+ fabs(0.2668033732480146)) < eps,
"Incorrect data->Z at 1, 4");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 1, 5)) -
- fabs(-0.0623497873850738)) < eps,
+ fabs(-0.1501945864641692)) < eps,
"Incorrect data->Z at 1, 5");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 1, 6)) -
- fabs(-0.0199493291395259)) < eps,
+ fabs(-0.0619733946461100)) < eps,
"Incorrect data->Z at 1, 6");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 1, 7)) -
- fabs(0.0068540206892510)) < eps,
+ fabs(0.0310679032164383)) < eps,
"Incorrect data->Z at 1, 7");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 2, 0)) -
fabs(1.0000000000000000)) < eps,
"Incorrect data->Z at 2, 0");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 2, 1)) -
- fabs(2.4167201742337761)) < eps,
+ fabs(0.8744122718819858)) < eps,
"Incorrect data->Z at 2, 1");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 2, 2)) -
- fabs(-0.1499385272847361)) < eps,
+ fabs(-0.1668002175181436)) < eps,
"Incorrect data->Z at 2, 2");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 2, 3)) -
- fabs(-0.1781619658696836)) < eps,
+ fabs(-0.2097752534311912)) < eps,
"Incorrect data->Z at 2, 3");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 2, 4)) -
- fabs(-0.2363293887681946)) < eps,
+ fabs(-0.3607359478462531)) < eps,
"Incorrect data->Z at 2, 4");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 2, 5)) -
- fabs(-0.0362117307160720)) < eps,
+ fabs(-0.0872305447725448)) < eps,
"Incorrect data->Z at 2, 5");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 2, 6)) -
- fabs(0.0366137533260933)) < eps,
+ fabs(0.1137420997209145)) < eps,
"Incorrect data->Z at 2, 6");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 2, 7)) -
- fabs(0.0227049982868101)) < eps,
+ fabs(0.1029172103916005)) < eps,
"Incorrect data->Z at 2, 7");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 3, 0)) -
fabs(1.0000000000000000)) < eps,
"Incorrect data->Z at 3, 0");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 3, 1)) -
- fabs(2.3339314848494390)) < eps,
+ fabs(0.8444578540132961)) < eps,
"Incorrect data->Z at 3, 1");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 3, 2)) -
- fabs(0.4067278927345656)) < eps,
+ fabs(0.4524674358711562)) < eps,
"Incorrect data->Z at 3, 2");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 3, 3)) -
- fabs(0.0198947146890620)) < eps,
+ fabs(0.0234248583611390)) < eps,
"Incorrect data->Z at 3, 3");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 3, 4)) -
- fabs(0.1187106614859180)) < eps,
+ fabs(0.1812013445038858)) < eps,
"Incorrect data->Z at 3, 4");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 3, 5)) -
- fabs(0.0734848412140159)) < eps,
+ fabs(0.1770178504276099)) < eps,
"Incorrect data->Z at 3, 5");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 3, 6)) -
- fabs(-0.0166955533210990)) < eps,
+ fabs(-0.0518654089852882)) < eps,
"Incorrect data->Z at 3, 6");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 3, 7)) -
- fabs(0.0229112619510384)) < eps,
+ fabs(0.1038521622757349)) < eps,
"Incorrect data->Z at 3, 7");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 4, 0)) -
fabs(1.0000000000000000)) < eps,
"Incorrect data->Z at 4, 0");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 4, 1)) -
- fabs(2.5061509421266424)) < eps,
+ fabs(0.9067699116960968)) < eps,
"Incorrect data->Z at 4, 1");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 4, 2)) -
- fabs(0.0574469229922174)) < eps,
+ fabs(0.0639072520210456)) < eps,
"Incorrect data->Z at 4, 2");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 4, 3)) -
- fabs(-0.2858649955147738)) < eps,
+ fabs(-0.3365892466918618)) < eps,
"Incorrect data->Z at 4, 3");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 4, 4)) -
- fabs(-0.0995031375002134)) < eps,
+ fabs(-0.1518827548571320)) < eps,
"Incorrect data->Z at 4, 4");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 4, 5)) -
- fabs(0.0223790101651578)) < eps,
+ fabs(0.0539088634973914)) < eps,
"Incorrect data->Z at 4, 5");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 4, 6)) -
- fabs(-0.0355571480867735)) < eps,
+ fabs(-0.1104597129788070)) < eps,
"Incorrect data->Z at 4, 6");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 4, 7)) -
- fabs(-0.0219026472149696)) < eps,
+ fabs(-0.0992803136596373)) < eps,
"Incorrect data->Z at 4, 7");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 5, 0)) -
fabs(1.0000000000000000)) < eps,
"Incorrect data->Z at 5, 0");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 5, 1)) -
- fabs(2.4482858151168982)) < eps,
+ fabs(0.8858332812534048)) < eps,
"Incorrect data->Z at 5, 1");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 5, 2)) -
- fabs(-0.0670998214520230)) < eps,
+ fabs(-0.0746456899124524)) < eps,
"Incorrect data->Z at 5, 2");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 5, 3)) -
- fabs(0.3147064295566219)) < eps,
+ fabs(0.3705483417541217)) < eps,
"Incorrect data->Z at 5, 3");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 5, 4)) -
- fabs(0.1070535630418465)) < eps,
+ fabs(0.1634078128645188)) < eps,
"Incorrect data->Z at 5, 4");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 5, 5)) -
- fabs(-0.0052824396955993)) < eps,
+ fabs(-0.0127248845405431)) < eps,
"Incorrect data->Z at 5, 5");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 5, 6)) -
- fabs(0.0614363461130733)) < eps,
+ fabs(0.1908544842110400)) < eps,
"Incorrect data->Z at 5, 6");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 5, 7)) -
- fabs(-0.0075355247061472)) < eps,
+ fabs(-0.0341570244488496)) < eps,
"Incorrect data->Z at 5, 7");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 6, 0)) -
fabs(1.0000000000000000)) < eps,
"Incorrect data->Z at 6, 0");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 6, 1)) -
- fabs(2.3638928644404329)) < eps,
+ fabs(0.8552984131629242)) < eps,
"Incorrect data->Z at 6, 1");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 6, 2)) -
- fabs(0.3482541374011597)) < eps,
+ fabs(0.3874178766595150)) < eps,
"Incorrect data->Z at 6, 2");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 6, 3)) -
- fabs(-0.2422541976251498)) < eps,
+ fabs(-0.2852400929318269)) < eps,
"Incorrect data->Z at 6, 3");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 6, 4)) -
- fabs(0.0251886519764033)) < eps,
+ fabs(0.0384482534865339)) < eps,
"Incorrect data->Z at 6, 4");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 6, 5)) -
- fabs(-0.0079397861684362)) < eps,
+ fabs(-0.0191261742853618)) < eps,
"Incorrect data->Z at 6, 5");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 6, 6)) -
- fabs(0.0424975213407462)) < eps,
+ fabs(0.1320202620905840)) < eps,
"Incorrect data->Z at 6, 6");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 6, 7)) -
- fabs(-0.0204279932276333)) < eps,
+ fabs(-0.0925960024453241)) < eps,
"Incorrect data->Z at 6, 7");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 7, 0)) -
fabs(1.0000000000000000)) < eps,
"Incorrect data->Z at 7, 0");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 7, 1)) -
- fabs(2.3607306299135344)) < eps,
+ fabs(0.8541542605604135)) < eps,
"Incorrect data->Z at 7, 1");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 7, 2)) -
- fabs(-0.0220102589508912)) < eps,
+ fabs(-0.0244854744615944)) < eps,
"Incorrect data->Z at 7, 2");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 7, 3)) -
- fabs(0.3913398731540265)) < eps,
+ fabs(0.4607797217991149)) < eps,
"Incorrect data->Z at 7, 3");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 7, 4)) -
- fabs(-0.0941469673695446)) < eps,
+ fabs(-0.1437070340168947)) < eps,
"Incorrect data->Z at 7, 4");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 7, 5)) -
- fabs(-0.0477595489009114)) < eps,
+ fabs(-0.1150481180085769)) < eps,
"Incorrect data->Z at 7, 5");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 7, 6)) -
- fabs(-0.0367688438245860)) < eps,
+ fabs(-0.1142238946024231)) < eps,
"Incorrect data->Z at 7, 6");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 7, 7)) -
- fabs(-0.0133498576642393)) < eps,
+ fabs(-0.0605122313850435)) < eps,
"Incorrect data->Z at 7, 7");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 8, 0)) -
fabs(1.0000000000000000)) < eps,
"Incorrect data->Z at 8, 0");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 8, 1)) -
- fabs(2.5023932475093376)) < eps,
+ fabs(0.9054103110595034)) < eps,
"Incorrect data->Z at 8, 1");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 8, 2)) -
- fabs(0.2929602950386334)) < eps,
+ fabs(0.3259058350214859)) < eps,
"Incorrect data->Z at 8, 2");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 8, 3)) -
- fabs(0.1371647327912284)) < eps,
+ fabs(0.1615034187720415)) < eps,
"Incorrect data->Z at 8, 3");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 8, 4)) -
- fabs(-0.0270505649533715)) < eps,
+ fabs(-0.0412902992687150)) < eps,
"Incorrect data->Z at 8, 4");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 8, 5)) -
- fabs(-0.0685258491091892)) < eps,
+ fabs(-0.1650721197410958)) < eps,
"Incorrect data->Z at 8, 5");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 8, 6)) -
- fabs(-0.0213385621647371)) < eps,
+ fabs(-0.0662891030052566)) < eps,
"Incorrect data->Z at 8, 6");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 8, 7)) -
- fabs(0.0121305554343051)) < eps,
+ fabs(0.0549853785509707)) < eps,
"Incorrect data->Z at 8, 7");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 9, 0)) -
fabs(1.0000000000000000)) < eps,
"Incorrect data->Z at 9, 0");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 9, 1)) -
- fabs(2.4579608302226870)) < eps,
+ fabs(0.8893338735144964)) < eps,
"Incorrect data->Z at 9, 1");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 9, 2)) -
- fabs(-0.2538863526247282)) < eps,
+ fabs(-0.2824377403832496)) < eps,
"Incorrect data->Z at 9, 2");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 9, 3)) -
- fabs(0.0991005899665861)) < eps,
+ fabs(0.1166851256604740)) < eps,
"Incorrect data->Z at 9, 3");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 9, 4)) -
- fabs(-0.1374781282330359)) < eps,
+ fabs(-0.2098482256259584)) < eps,
"Incorrect data->Z at 9, 4");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 9, 5)) -
- fabs(0.1043628273525485)) < eps,
+ fabs(0.2513999221784036)) < eps,
"Incorrect data->Z at 9, 5");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 9, 6)) -
- fabs(-0.0024213407513349)) < eps,
+ fabs(-0.0075219925896089)) < eps,
"Incorrect data->Z at 9, 6");
mu_assert(fabs(fabs(matrix_get(data->Z, data->r+1, 9, 7)) -
- fabs(0.0007673936590348)) < eps,
+ fabs(0.0034784417801946)) < eps,
"Incorrect data->Z at 9, 7");
mu_assert(fabs(matrix_get(data->RAW, data->m+1, 0, 0) -
@@ -748,9 +772,9 @@ char *test_kernel_preprocess_kernel()
0.1028774221216107) < eps,
"Incorrect data->RAW at 9, 5");
- // end test code //
+ // end test code //
gensvm_free_model(model);
gensvm_free_data(data);
@@ -2317,7 +2341,7 @@ char *test_kernel_eigendecomp()
mu_assert(r == 7, "Incorrect number of eigenvalues kept");
- // Note: to overcome sign variability in the eigenvectors, we take the
+ // Note: to overcome sign variability in the eigenvectors, we take the
// absolute value of the elements of P and the expected outcome.
mu_assert(fabs(fabs(matrix_get(P, r, 0, 0)) -
@@ -2532,19 +2556,20 @@ char *test_kernel_eigendecomp()
"Incorrect P at 9, 6");
eps = 1e-13;
- mu_assert(fabs(Sigma[0] - 22.9663721202447704) < eps,
+
+ mu_assert(fabs(Sigma[0] - 4.7923242920575353) < eps,
"Incorrect Sigma at 0");
- mu_assert(fabs(Sigma[1] - 2.2569857335186856) < eps,
+ mu_assert(fabs(Sigma[1] - 1.5023267732150303) < eps,
"Incorrect Sigma at 1");
- mu_assert(fabs(Sigma[2] - 1.4177404640754938) < eps,
+ mu_assert(fabs(Sigma[2] - 1.1906890711161726) < eps,
"Incorrect Sigma at 2");
- mu_assert(fabs(Sigma[3] - 1.0075496644459232) < eps,
+ mu_assert(fabs(Sigma[3] - 1.0037677343120393) < eps,
"Incorrect Sigma at 3");
- mu_assert(fabs(Sigma[4] - 0.7919296491505164) < eps,
+ mu_assert(fabs(Sigma[4] - 0.8899042921295091) < eps,
"Incorrect Sigma at 4");
- mu_assert(fabs(Sigma[5] - 0.6808726728950240) < eps,
+ mu_assert(fabs(Sigma[5] - 0.8251500911319253) < eps,
"Incorrect Sigma at 5");
- mu_assert(fabs(Sigma[6] - 0.2909718164349679) < eps,
+ mu_assert(fabs(Sigma[6] - 0.5394180349552358) < eps,
"Incorrect Sigma at 6");
// end test code //