\(\newcommand{\W}[1]{ \; #1 \; }\) \(\newcommand{\R}[1]{ {\rm #1} }\) \(\newcommand{\B}[1]{ {\bf #1} }\) \(\newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} }\) \(\newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} }\) \(\newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} }\) \(\newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }\)
valvector¶
View page sourcevalvector: An Example Machine Learning Base Class¶
This CppAD Base class preforms numerical operations on vectors; e.g., only one CppAD operation represents the element-by-element addition of two vectors. This is similar to the Pytorch Tensors or Jax Numpy Arrays.
scalar_type¶
The type valvector::scalar_type
is the type corresponding to each element of a valvector .
We use scalar_type to denote this type.
Getting Started¶
The file valvector_get_started.cpp is an example that computes derivatives using valvector as the base class.
Other Examples¶
The file valvector.cpp tests that all of the valvector examples git the expected results.
Operations¶
Name |
Title |
|---|---|
valvector_ctor |
|
valvector_resize |
|
valvector_assign |
|
valvector_size |
|
valvector_sum |
|
valvector_element |
|
valvector_unary_op |
|
valvector_binary_op |
|
valvector_compound_op |
|
valvector_compare_op |
|
valvector_output |
|
valvector_unary_math |
|
valvector_pow |
|
valvector_azmul |
|
valvector_condexp |
|
valvector_base_require |
The valvector Implementation of CppAD Base Type Requirements |
valvector_ad_split |
|
valvector_ad_join |
|
valvector_ad_sum |
|
valvector_get_started.cpp |
|
valvector_llsq_obj.cpp |