13#ifndef MLPACK_METHODS_NCA_NCA_SOFTMAX_ERROR_FUNCTION_HPP
14#define MLPACK_METHODS_NCA_NCA_SOFTMAX_ERROR_FUNCTION_HPP
44template<
typename MetricType = metric::SquaredEucl
ideanDistance>
59 const arma::Row<size_t>& labels,
60 MetricType metric = MetricType());
90 const size_t batchSize = 1);
100 void Gradient(
const arma::mat& covariance, arma::mat& gradient);
117 template <
typename GradType>
121 const size_t batchSize = 1);
139 arma::Row<size_t> labels;
145 arma::mat lastCoordinates;
147 arma::mat stretchedDataset;
152 arma::vec denominators;
170 void Precalculate(
const arma::mat& coordinates);
177#include "nca_softmax_error_function_impl.hpp"
The "softmax" stochastic neighbor assignment probability function.
size_t NumFunctions() const
Get the number of functions the objective function can be decomposed into.
void Shuffle()
Shuffle the dataset.
double Evaluate(const arma::mat &covariance, const size_t begin, const size_t batchSize=1)
Evaluate the softmax objective function for the given covariance matrix on the given batch size from ...
const arma::mat GetInitialPoint() const
Get the initial point.
double Evaluate(const arma::mat &covariance)
Evaluate the softmax function for the given covariance matrix.
void Gradient(const arma::mat &covariance, arma::mat &gradient)
Evaluate the gradient of the softmax function for the given covariance matrix.
void Gradient(const arma::mat &covariance, const size_t begin, GradType &gradient, const size_t batchSize=1)
Evaluate the gradient of the softmax function for the given covariance matrix on the given batch size...
SoftmaxErrorFunction(const arma::mat &dataset, const arma::Row< size_t > &labels, MetricType metric=MetricType())
Initialize with the given kernel; useful when the kernel has some state to store, which is set elsewh...
Linear algebra utility functions, generally performed on matrices or vectors.
The core includes that mlpack expects; standard C++ includes and Armadillo.