ldaplusplus::parameters::SupervisedCorrespondenceVariationalParameters< Scalar > Struct Template Reference

#include <Parameters.hpp>

Inheritance diagram for ldaplusplus::parameters::SupervisedCorrespondenceVariationalParameters< Scalar >:

Public Member Functions
	SupervisedCorrespondenceVariationalParameters (Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > g, Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > p, Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > t)
Public Member Functions inherited from ldaplusplus::parameters::VariationalParameters< Scalar >
	VariationalParameters (Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > g, Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > p)

Public Attributes
Eigen::Matrix< Scalar, Eigen::Dynamic, 1 >	tau
Public Attributes inherited from ldaplusplus::parameters::VariationalParameters< Scalar >
Eigen::Matrix< Scalar, Eigen::Dynamic, 1 >	gamma
Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic >	phi

Detailed Description

template<typename Scalar = double>
struct ldaplusplus::parameters::SupervisedCorrespondenceVariationalParameters< Scalar >

The supervised correspondence variational parameters add a variational parameter for sampling a topic assignment to predict the class.

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The documentation for this struct was generated from the following file:

• include/ldaplusplus/Parameters.hpp