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Code Issues Releases Wiki Activity

pairwise: update to latest mat64 API

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This commit is contained in:
Richard Townsend 2015-09-13 11:22:27 +01:00
parent c16fade796
commit 918a8c99ba
3 changed files with 11 additions and 11 deletions
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6
metrics/pairwise/chebyshev_test.go
View File

@ -24,8 +24,8 @@ func TestChebyshev(t *testing.T) {
})
Convey("When calculating distance with row vectors", func() {
vectorX.TCopy(vectorX)
vectorY.TCopy(vectorY)
vectorX.Copy(vectorX.T())
vectorY.Copy(vectorY.T())
result := chebyshev.Distance(vectorX, vectorY)
Convey("The result should be 8", func() {
@ -34,7 +34,7 @@ func TestChebyshev(t *testing.T) {
})
Convey("When calculating distance with different dimension matrices", func() {
vectorX.TCopy(vectorX)
vectorX.Clone(vectorX.T())
So(func() { chebyshev.Distance(vectorX, vectorY) }, ShouldPanic)
})

8
metrics/pairwise/cranberra_test.go
View File

@ -33,8 +33,8 @@ func TestCranberrra(t *testing.T) {
})
Convey("When calculating distance with row vectors", func() {
vectorX.TCopy(vectorX)
vectorY.TCopy(vectorY)
vectorX.Copy(vectorX.T())
vectorY.Copy(vectorY.T())
result := cranberra.Distance(vectorX, vectorY)
Convey("The result should be 2.9", func() {
@ -42,8 +42,8 @@ func TestCranberrra(t *testing.T) {
})
})
Convey("When calculating distance with different dimention matrices", func() {
vectorX.TCopy(vectorX)
Convey("When calculating distance with different dimension matrices", func() {
vectorX.Clone(vectorX.T())
So(func() { cranberra.Distance(vectorX, vectorY) }, ShouldPanic)
})

8
metrics/pairwise/manhattan_test.go
View File

@ -33,8 +33,8 @@ func TestManhattan(t *testing.T) {
})
Convey("When calculating distance with row vectors", func() {
vectorX.TCopy(vectorX)
vectorY.TCopy(vectorY)
vectorX.Copy(vectorX.T())
vectorY.Copy(vectorY.T())
result := manhattan.Distance(vectorX, vectorY)
Convey("The result should be 5", func() {
@ -42,8 +42,8 @@ func TestManhattan(t *testing.T) {
})
})
Convey("When calculating distance with different dimention matrices", func() {
vectorX.TCopy(vectorX)
Convey("When calculating distance with different dimension matrices", func() {
vectorX.Clone(vectorX.T())
So(func() { manhattan.Distance(vectorX, vectorY) }, ShouldPanic)
})