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

#include <Parameters.hpp>

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

Public Member Functions
	SupervisedModelParameters (Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > a, Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > b, Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > e)
Public Member Functions inherited from ldaplusplus::parameters::ModelParameters< Scalar >
	ModelParameters (Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > a, Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > b)

Public Attributes
Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic >	eta
Public Attributes inherited from ldaplusplus::parameters::ModelParameters< Scalar >
Eigen::Matrix< Scalar, Eigen::Dynamic, 1 >	alpha
Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic >	beta

Detailed Description

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

SupervisedModelParameters adds the extra logistic regression parameters to model parameters.

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

• include/ldaplusplus/Parameters.hpp