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use ingroup instead of addtogroup

release/4.3a0
Varun Agrawal 2022-07-26 17:37:50 -04:00
parent fbe4bf867e
commit efdbee2a76
7 changed files with 7 additions and 7 deletions
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2
gtsam/inference/BayesNet.h
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@ -27,7 +27,7 @@ namespace gtsam {
/** /**
* A BayesNet is a tree of conditionals, stored in elimination order. * A BayesNet is a tree of conditionals, stored in elimination order.
* @addtogroup inference * @ingroup inference
*/ */
template <class CONDITIONAL> template <class CONDITIONAL>
class BayesNet : public FactorGraph<CONDITIONAL> { class BayesNet : public FactorGraph<CONDITIONAL> {

2
gtsam/inference/DotWriter.h
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@ -30,7 +30,7 @@ namespace gtsam {
/** /**
* @brief DotWriter is a helper class for writing graphviz .dot files. * @brief DotWriter is a helper class for writing graphviz .dot files.
* @addtogroup inference * @ingroup inference
*/ */
struct GTSAM_EXPORT DotWriter { struct GTSAM_EXPORT DotWriter {
double figureWidthInches; ///< The figure width on paper in inches double figureWidthInches; ///< The figure width on paper in inches

2
gtsam/linear/GaussianBayesNet.h
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@ -30,7 +30,7 @@ namespace gtsam {
/** /**
* GaussianBayesNet is a Bayes net made from linear-Gaussian conditionals. * GaussianBayesNet is a Bayes net made from linear-Gaussian conditionals.
* @addtogroup linear * @ingroup linear
*/ */
class GTSAM_EXPORT GaussianBayesNet: public BayesNet<GaussianConditional> class GTSAM_EXPORT GaussianBayesNet: public BayesNet<GaussianConditional>
{ {

2
gtsam/linear/GaussianConditional.h
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@ -35,7 +35,7 @@ namespace gtsam {
* A GaussianConditional functions as the node in a Bayes network. * A GaussianConditional functions as the node in a Bayes network.
* It has a set of parents y,z, etc. and implements a probability density on x. * It has a set of parents y,z, etc. and implements a probability density on x.
* The negative log-probability is given by \f$ \frac{1}{2} |Rx - (d - Sy - Tz - ...)|^2 \f$ * The negative log-probability is given by \f$ \frac{1}{2} |Rx - (d - Sy - Tz - ...)|^2 \f$
* @addtogroup linear * @ingroup linear
*/ */
class GTSAM_EXPORT GaussianConditional : class GTSAM_EXPORT GaussianConditional :
public JacobianFactor, public JacobianFactor,

2
gtsam/linear/GaussianDensity.h
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@ -27,7 +27,7 @@ namespace gtsam {
* A GaussianDensity is a GaussianConditional without parents. * A GaussianDensity is a GaussianConditional without parents.
* The negative log-probability is given by \f$ |Rx - d|^2 \f$ * The negative log-probability is given by \f$ |Rx - d|^2 \f$
* with \f$ \Lambda = \Sigma^{-1} = R^T R \f$ and \f$ \mu = R^{-1} d \f$ * with \f$ \Lambda = \Sigma^{-1} = R^T R \f$ and \f$ \mu = R^{-1} d \f$
* @addtogroup linear * @ingroup linear
*/ */
class GTSAM_EXPORT GaussianDensity : public GaussianConditional { class GTSAM_EXPORT GaussianDensity : public GaussianConditional {

2
gtsam/linear/VectorValues.h
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@ -69,7 +69,7 @@ namespace gtsam {
* which is a view on the underlying data structure. * which is a view on the underlying data structure.
* *
* This class is additionally used in gradient descent and dog leg to store the gradient. * This class is additionally used in gradient descent and dog leg to store the gradient.
* @addtogroup linear * @ingroup linear
*/ */
class GTSAM_EXPORT VectorValues { class GTSAM_EXPORT VectorValues {
protected: protected:

2
gtsam/symbolic/SymbolicBayesNet.h
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@ -27,7 +27,7 @@ namespace gtsam {
/** /**
* A SymbolicBayesNet is a Bayes Net of purely symbolic conditionals. * A SymbolicBayesNet is a Bayes Net of purely symbolic conditionals.
* @addtogroup symbolic * @ingroup symbolic
*/ */
class SymbolicBayesNet : public BayesNet<SymbolicConditional> { class SymbolicBayesNet : public BayesNet<SymbolicConditional> {
public: public: