本文整理汇总了Golang中github.com/skelterjohn/go/matrix.DenseMatrix.Transpose方法的典型用法代码示例。如果您正苦于以下问题：Golang DenseMatrix.Transpose方法的具体用法？Golang DenseMatrix.Transpose怎么用？Golang DenseMatrix.Transpose使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类github.com/skelterjohn/go/matrix.DenseMatrix的用法示例。
在下文中一共展示了DenseMatrix.Transpose方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Golang代码示例。
示例1: Insert
func (this *KnownVarianceLRPosterior) Insert(x, y *mx.DenseMatrix) {
xxt, _ := x.TimesDense(x.Transpose())
this.XXt.Add(xxt)
yxt, _ := y.TimesDense(x.Transpose())
this.YXt.Add(yxt)
}示例2: Remove
func (this *KnownVarianceLRPosterior) Remove(x, y *mx.DenseMatrix) {
xxt, _ := x.TimesDense(x.Transpose())
this.XXt.Subtract(xxt)
yxt, _ := y.TimesDense(x.Transpose())
this.YXt.Subtract(yxt)
}示例3: KnownVariancePosterior
/*
If Y ~ N(AX, Sigma, I)
and A ~ N(M, Sigma, Phi)
this returns a sampler for P(A|X,Y,Sigma,M,Phi)
*/
func KnownVariancePosterior(Y, X, Sigma, M, Phi *mx.DenseMatrix) func() (A *mx.DenseMatrix) {
o := Y.Rows()
i := X.Rows()
n := Y.Cols()
if n != X.Cols() {
panic("X and Y don't have the same number of columns")
}
if o != M.Rows() {
panic("Y.Rows != M.Rows")
}
if i != M.Cols() {
panic("Y.Rows != M.Cols")
}
if o != Sigma.Rows() {
panic("Y.Rows != Sigma.Rows")
}
if Sigma.Cols() != Sigma.Rows() {
panic("Sigma is not square")
}
if i != Phi.Rows() {
panic("X.Rows != Phi.Rows")
}
if Phi.Cols() != Phi.Rows() {
panic("Phi is not square")
}
Xt := X.Transpose()
PhiInv, err := Phi.Inverse()
if err != nil {
panic(err)
}
XXt, err := X.TimesDense(Xt)
if err != nil {
panic(err)
}
XXtpPhiInv, err := XXt.PlusDense(PhiInv)
if err != nil {
panic(err)
}
Omega, err := XXtpPhiInv.Inverse()
if err != nil {
panic(err)
}
YXtpMPhiInv, err := Y.TimesDense(Xt)
if err != nil {
panic(err)
}
MPhiInv, err := M.TimesDense(PhiInv)
if err != nil {
panic(err)
}
err = YXtpMPhiInv.AddDense(MPhiInv)
if err != nil {
panic(err)
}
Mxy, err := YXtpMPhiInv.TimesDense(Omega)
if err != nil {
panic(err)
}
if false {
fmt.Printf("Mxy:\n%v\n", Mxy)
fmt.Printf("Sigma:\n%v\n", Sigma)
fmt.Printf("Omega:\n%v\n", Omega)
}
return dst.MatrixNormal(Mxy, Sigma, Omega)
}