func TestClassifyAssignsHighestScoredClassToFeature(t *testing.T) {
classSize, dimensions := 4, 8
test := classificationTest{
feature: dense.New(1, 8)(0, 1, 0.5, -1, 0, 0, 2, 0),
class: 2,
}
weights := dense.New(classSize, dimensions)(
0, 0, 0, 0, 0, 0, 0, 0,
0, -1, -1, 1, 0, 0, -1, 0,
0, 1, 1, 0, 0, 0, 1, 0,
0, 1, 1, 1, 0, 0, 1, 0,
)
c := New(classSize, dimensions).Update(weights)
if class := c.Classify(test.feature); class != test.class {
t.Fatalf(
"Classifier should assign %d to the feature, but %d is assigned.",
test.class,
class,
)
}
}
func TestPerceptronLearnsClassification(t *testing.T) {
classSize, dimensions := 2, 6
iterations := 3
feature := dense.New(1, dimensions)
instances := []*olive.Instance{
olive.NewInstance(feature(1, 1, 1, 0, 0, 0), 0),
olive.NewInstance(feature(1, 1, 0, 0, 0, 0), 0),
olive.NewInstance(feature(0, 0, 0, 1, 1, 1), 1),
olive.NewInstance(feature(0, 0, 0, 0, 1, 1), 1),
}
c := New(iterations).Learn(classifier.New(classSize, dimensions), instances)
for index, instance := range instances {
class := c.Classify(instance.Feature())
if class == instance.Class() {
continue
}
t.Fatalf(
"The instance %d should be classified into %d, but is classified into %d",
index,
instance.Class(),
class,
)
}
}
func TestScalarMultiplyIsCommutative(t *testing.T) {
m := dense.New(2, 2)(
0, 1,
2, 3,
)
n := dense.New(2, 2)(
0, 1,
2, 3,
)
s := 2.0
if Scalar(s).Multiply(m).Equal(n.Scalar(s)) {
return
}
t.Fatal("Scalar multiplication should be commutative.")
}
func TestIsNotDiagonalNonSquareMutableDense(t *testing.T) {
m := dense.New(4, 3)(
2, 0, 0,
0, 4, 0,
0, 0, 1,
0, 0, 0,
)
if !IsDiagonal(m) {
return
}
t.Fatal("This matrix should not be diagonal.")
}
func TestIsNotDiagonalMutableDense(t *testing.T) {
m := dense.New(4, 4)(
0, 1, 1, 1,
1, 0, 1, 1,
1, 1, 0, 1,
1, 1, 1, 0,
)
if !IsDiagonal(m) {
return
}
t.Fatal("This matrix should not be diagonal.")
}
func TestIsZerosMutableDense(t *testing.T) {
m := dense.New(4, 3)(
0, 0, 0,
0, 0, 0,
0, 0, 0,
0, 0, 0,
)
if IsZeros(m) {
return
}
t.Fatal("This matrix should be zeros.")
}
func TestIsDiagonalMutableDense(t *testing.T) {
m := dense.New(4, 4)(
2, 0, 0, 0,
0, 4, 0, 0,
0, 0, 1, 0,
0, 0, 0, 0,
)
if IsDiagonal(m) {
return
}
t.Fatal("This matrix should be diagonal.")
}
func TestIsNotSquareMutableDense(t *testing.T) {
m := dense.New(4, 3)(
0, 1, 2,
4, 5, 0,
2, 3, 4,
0, 1, 2,
)
if !IsSquare(m) {
return
}
t.Fatal("This matrix should not be square.")
}
func TestIsSquareMutableDense(t *testing.T) {
m := dense.New(4, 4)(
0, 1, 2, 3,
4, 5, 0, 1,
2, 3, 4, 5,
0, 1, 2, 3,
)
if IsSquare(m) {
return
}
t.Fatal("This matrix should be square.")
}
func TestIsNotZerosMutableDense(t *testing.T) {
m := dense.New(4, 3)(
0, 1, 2,
4, 5, 0,
2, 3, 4,
0, 1, 2,
)
if !IsZeros(m) {
return
}
t.Fatal("This matrix should not be zeros.")
}
func TestIsNotScalarNonSquareMutableDense(t *testing.T) {
m := dense.New(4, 3)(
7, 0, 0,
0, 7, 0,
0, 0, 7,
0, 0, 0,
)
if !IsScalar(m) {
return
}
t.Fatal("This matrix should not be scalar.")
}
func TestIsScalarMutableDense(t *testing.T) {
m := dense.New(4, 4)(
7, 0, 0, 0,
0, 7, 0, 0,
0, 0, 7, 0,
0, 0, 0, 7,
)
if IsScalar(m) {
return
}
t.Fatal("This matrix should be scalar.")
}
func TestIsNotIdentityNonSquareMutableDense(t *testing.T) {
m := dense.New(4, 3)(
1, 0, 0,
0, 1, 0,
0, 0, 1,
0, 0, 0,
)
if !IsIdentity(m) {
return
}
t.Fatal("This matrix should not be identity.")
}
func TestIsIdentityMutableDense(t *testing.T) {
m := dense.New(4, 4)(
1, 0, 0, 0,
0, 1, 0, 0,
0, 0, 1, 0,
0, 0, 0, 1,
)
if IsIdentity(m) {
return
}
t.Fatal("This matrix should be identity.")
}
