singlepp::ClassifyIntegratedOptions< Float_ > Struct Template Reference

Options for classify_integrated(). More...

#include <classify_integrated.hpp>

Public Attributes
Float_	quantile = 0.8
Float_	fine_tune_threshold = 0.05
bool	fine_tune = true
int	num_threads = 1

Detailed Description

template<typename Float_ = DefaultFloat>
struct singlepp::ClassifyIntegratedOptions< Float_ >

Options for classify_integrated().

Template Parameters

Float_

Floating-point type for the correlations and scores.

Member Data Documentation

fine_tune

template<typename Float_ = DefaultFloat>

bool singlepp::ClassifyIntegratedOptions< Float_ >::fine_tune = true

Whether to perform fine-tuning. This can be disabled to improve speed at the cost of accuracy.

fine_tune_threshold

template<typename Float_ = DefaultFloat>

Float_ singlepp::ClassifyIntegratedOptions< Float_ >::fine_tune_threshold = 0.05

Score threshold to use to select the top-scoring subset of references during fine-tuning, see ClassifySingleOptions::fine_tune for more details.

num_threads

template<typename Float_ = DefaultFloat>

int singlepp::ClassifyIntegratedOptions< Float_ >::num_threads = 1

Number of threads to use. The parallelization scheme is determined by tatami::parallelize().

quantile

template<typename Float_ = DefaultFloat>

Float_ singlepp::ClassifyIntegratedOptions< Float_ >::quantile = 0.8

Quantile to use to compute a per-reference score from the correlations. This has the same interpretation as ClassifySingleOptions::quantile.

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

• singlepp/classify_integrated.hpp