mumosa.hpp File Reference

Scale multi-modal embeddings based on their relative variance. More...

#include <vector>
#include <stdexcept>
#include <cmath>
#include <algorithm>
#include <limits>
#include <cstddef>
#include "knncolle/knncolle.hpp"
#include "tatami_stats/tatami_stats.hpp"

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Classes
struct	mumosa::Options
	Options for compute_distance(). More...

Namespaces
namespace	mumosa
	Scale multi-modal embeddings to adjust for differences in variance.

Functions
template<typename Index_ , typename Distance_ >
std::pair< Distance_, Distance_ >	mumosa::compute_distance (Index_ num_cells, Distance_ *distances)
template<typename Index_ , typename Input_ , typename Distance_ >
std::pair< Distance_, Distance_ >	mumosa::compute_distance (const knncolle::Prebuilt< Index_, Input_, Distance_ > &prebuilt, const Options &options)
template<typename Index_ , typename Input_ , typename Distance_ , class Matrix_ = knncolle::Matrix<Index_, Input_>>
std::pair< Distance_, Distance_ >	mumosa::compute_distance (std::size_t num_dim, Index_ num_cells, const Input_ *data, const knncolle::Builder< Index_, Input_, Distance_, Matrix_ > &builder, const Options &options)
template<typename Distance_ >
Distance_	mumosa::compute_scale (const std::pair< Distance_, Distance_ > &ref, const std::pair< Distance_, Distance_ > &target)
template<typename Distance_ >
std::vector< Distance_ >	mumosa::compute_scale (const std::vector< std::pair< Distance_, Distance_ > > &distances)
template<typename Index_ , typename Input_ , typename Scale_ , typename Output_ >
void	mumosa::combine_scaled_embeddings (const std::vector< std::size_t > &num_dims, Index_ num_cells, const std::vector< Input_ * > &embeddings, const std::vector< Scale_ > &scaling, Output_ *output)

Detailed Description

Scale multi-modal embeddings based on their relative variance.