package pca import ( . "github.com/smartystreets/goconvey/convey" "testing" "github.com/gonum/matrix/mat64" ) func TestPCAWithZeroComponents(t *testing.T){ Convey("Set to pca 0 components with first matrix", t, func(){ X1 := mat64.NewDense(3,7, []float64{6,5,4,3,8,2,9,5,1,10,2,3,8,7,5,14,2,3,6,3,2}) pca := NewPCA(0) rows, cols := pca.Transform(X1).Dims() So(rows, ShouldEqual, 3) So(cols, ShouldEqual, 3) }) Convey("Set to pca 0 components with second matrix", t, func(){ X1 := mat64.NewDense(10,5, []float64{ 0.52984892, 0.1141001 , 0.91599294, 0.9574267 , 0.15361222, 0.07057588, 0.46371013, 0.73091854, 0.84641034, 0.08122213, 0.96221946, 0.60367214, 0.69851546, 0.91965564, 0.27040597, 0.03152856, 0.97912403, 0.39487038, 0.12232594, 0.18474705, 0.77061953, 0.35898551, 0.78684562, 0.11638404, 0.88908044, 0.35828086, 0.47214831, 0.95781755, 0.74762736, 0.59850757, 0.07806127, 0.96940955, 0.15751804, 0.00973325, 0.85041635, 0.02663938, 0.49755131, 0.57984119, 0.12233871, 0.47967853, 0.63903222, 0.88556565, 0.79797963, 0.13345186, 0.37415535, 0.60605207, 0.52067165, 0.91217494, 0.57148943, 0.92210331}) pca := NewPCA(0) rows, cols := pca.Transform(X1).Dims() So(rows, ShouldEqual, 10) So(cols, ShouldEqual, 5) }) } func TestPCAWithNComponents(t *testing.T){ Convey("Set to pca 3 components with 5x5 matrix", t, func(){ X := mat64.NewDense(5,5, [] float64{ 0.23030838, 0.05669317, 0.3187813 , 0.34455114, 0.98062806, 0.38995469, 0.2996771 , 0.99043575, 0.04443827, 0.99527955, 0.27266308, 0.14068906, 0.46999473, 0.03296131, 0.90855405, 0.28360708, 0.8839966 , 0.81107014, 0.52673877, 0.59432817, 0.64107253, 0.56165215, 0.79811756, 0.48845398, 0.20506649}) pca := NewPCA(3) rows, cols := pca.Transform(X).Dims() So(rows, ShouldEqual, 5) So(cols, ShouldEqual, 3) }) Convey("Set to pca 2 components with 3x5 matrix",t, func(){ X := mat64.NewDense(3,5, [] float64{ 0.12294845, 0.55170713, 0.67572832, 0.60615516, 0.38184551, 0.93486821, 0.15120374, 0.89760169, 0.74715672, 0.81373931, 0.42821569, 0.47457753, 0.18960954, 0.42466159, 0.34166049}) pca := NewPCA(2) rows, cols := pca.Transform(X).Dims() So(rows, ShouldEqual,3) So(cols, ShouldEqual,2) }) }