tape_Jacobian | R Documentation |
Creates a tape of the Jacobian of a function taped by CppAD
.
When the function returns a real value (as is the case for densities and the score matching objective) the Jacobian is equivalent to the gradient.
The x
vector is used as the value to conduct the taping.
tape_Jacobian(pfun)
pfun |
An |
When the returned tape is evaluated (via say $eval()
, the resultant vector contains the Jacobian in long format (see https://cppad.readthedocs.io/latest/Jacobian.html).
Suppose the function represented by pfun
maps from n
-dimensional space to m
-dimensional space, then
the first n
elements of vector is the gradient of the first component of function output.
The next n
elements of the vector is the gradient of the second component of the function output.
The Jacobian as a matrix, could then be obtained by as.matrix()
with byrow = TRUE
and ncol = n
.
For creating this tape, the values of pfun$xtape
and pfun$dyntape
are used.
An Rcpp_ADFun
object.
Other tape builders:
tape_Hessian()
,
tape_gradoffset()
,
tape_logJacdet()
,
tape_smd()
,
tape_swap()
,
tape_uld()
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