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mat: change cholesky.To to cholesky.ToSym (#250)
* mat: change cholesky.To to cholesky.ToSym Fixes #133
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@@ -268,10 +268,10 @@ func (c *Cholesky) LTo(dst *TriDense) *TriDense {
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return dst
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}
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// To reconstructs the original positive definite matrix given its
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// ToSym reconstructs the original positive definite matrix given its
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// Cholesky decomposition into dst and returns the result. If dst is nil
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// a new SymDense is allocated.
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func (c *Cholesky) To(dst *SymDense) *SymDense {
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func (c *Cholesky) ToSym(dst *SymDense) *SymDense {
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if !c.valid() {
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panic(badCholesky)
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}
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@@ -91,7 +91,7 @@ func ExampleCholesky_SymRankOne() {
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// Rank-1 update the matrix a.
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a.SymRankOne(a, 1, x)
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au := chol.To(nil)
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au := chol.ToSym(nil)
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// Print the matrix that was updated directly.
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fmt.Printf("\nA' = %0.4v\n", mat.Formatted(a, mat.Prefix(" ")))
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@@ -219,7 +219,7 @@ func TestCholeskySolveVec(t *testing.T) {
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}
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}
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func TestCholeskyTo(t *testing.T) {
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func TestCholeskyToSym(t *testing.T) {
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for _, test := range []*SymDense{
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NewSymDense(3, []float64{
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53, 59, 37,
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@@ -232,7 +232,7 @@ func TestCholeskyTo(t *testing.T) {
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if !ok {
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t.Fatal("unexpected Cholesky factorization failure: not positive definite")
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}
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s := chol.To(nil)
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s := chol.ToSym(nil)
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if !EqualApprox(s, test, 1e-12) {
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t.Errorf("Cholesky reconstruction not equal to original matrix.\nWant:\n% v\nGot:\n% v\n", Formatted(test), Formatted(s))
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@@ -338,7 +338,7 @@ func TestCholeskySymRankOne(t *testing.T) {
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a.SymRankOne(&a, alpha, x)
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var achol SymDense
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chol.To(&achol)
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chol.ToSym(&achol)
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if !EqualApprox(&achol, &a, 1e-13) {
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t.Errorf("n=%v, alpha=%v: mismatch between updated matrix and from Cholesky:\nupdated:\n%v\nfrom Cholesky:\n%v",
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n, alpha, Formatted(&a), Formatted(&achol))
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@@ -413,7 +413,7 @@ func TestCholeskySymRankOne(t *testing.T) {
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a.SymRankOne(a, test.alpha, x)
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var achol SymDense
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chol.To(&achol)
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chol.ToSym(&achol)
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if !EqualApprox(&achol, a, 1e-13) {
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t.Errorf("Case %v: mismatch between updated matrix and from Cholesky:\nupdated:\n%v\nfrom Cholesky:\n%v",
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i, Formatted(a), Formatted(&achol))
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@@ -151,7 +151,7 @@ func (w *Wishart) RandSym(x *mat.SymDense) *mat.SymDense {
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}
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var c mat.Cholesky
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w.RandChol(&c)
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c.To(x)
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c.ToSym(x)
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return x
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}
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@@ -204,6 +204,6 @@ func (w *Wishart) RandChol(c *mat.Cholesky) *mat.Cholesky {
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func (w *Wishart) setV() {
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w.once.Do(func() {
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w.v = mat.NewSymDense(w.dim, nil)
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w.cholv.To(w.v)
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w.cholv.ToSym(w.v)
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})
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}
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@@ -242,7 +242,7 @@ func TestConditionNormal(t *testing.T) {
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}
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var sigma mat.SymDense
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newNormal.chol.To(&sigma)
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newNormal.chol.ToSym(&sigma)
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if !mat.EqualApprox(test.newSigma, &sigma, 1e-12) {
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t.Errorf("Updated sigma mismatch\n.Want:\n% v\nGot:\n% v\n", test.newSigma, sigma)
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}
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@@ -280,7 +280,7 @@ func TestConditionNormal(t *testing.T) {
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t.Fatalf("Bad test, update failed")
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}
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var newSigma mat.SymDense
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newNormal.chol.To(&newSigma)
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newNormal.chol.ToSym(&newSigma)
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trueMean := test.mu[0] + rho*(std[0]/std[1])*(test.value-test.mu[1])
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if math.Abs(trueMean-newNormal.mu[0]) > 1e-14 {
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t.Errorf("Mean mismatch. Want %v, got %v", trueMean, newNormal.mu[0])
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@@ -377,7 +377,7 @@ func TestConditionNormal(t *testing.T) {
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}
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}
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var sigma mat.SymDense
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newNormal.chol.To(&sigma)
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newNormal.chol.ToSym(&sigma)
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if !mat.EqualApprox(&sigma, subEstCov, 1e-1) {
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t.Errorf("Covariance mismatch. Want:\n%0.8v\nGot:\n%0.8v\n", subEstCov, sigma)
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}
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