singlepp::TrainedIntegrated< Index_ > Class Template Reference

Classifier that integrates multiple reference datasets. More...

#include <train_integrated.hpp>

Public Member Functions
std::size_t	num_references () const
Index_	test_nrow () const
const std::vector< Index_ > &	subset () const
std::size_t	num_labels (std::size_t r) const
std::size_t	num_profiles (std::size_t r) const

Detailed Description

template<typename Index_>
class singlepp::TrainedIntegrated< Index_ >

Classifier that integrates multiple reference datasets.

Template Parameters

Index_

Integer type for the row/column indices of the matrix.

Member Function Documentation

num_labels()

template<typename Index_ >

std::size_t singlepp::TrainedIntegrated< Index_ >::num_labels ( std::size_t r ) const

inline

Parameters

r	Reference dataset of interest.

Returns

Number of labels in this reference.

num_profiles()

template<typename Index_ >

std::size_t singlepp::TrainedIntegrated< Index_ >::num_profiles ( std::size_t r ) const

inline

Parameters

r	Reference dataset of interest.

Returns

Number of profiles in this reference.

num_references()

template<typename Index_ >

std::size_t singlepp::TrainedIntegrated< Index_ >::num_references ( ) const

inline

Returns

Number of reference datasets.

subset()

template<typename Index_ >

const std::vector< Index_ > & singlepp::TrainedIntegrated< Index_ >::subset ( ) const

inline

Returns

The subset of genes in the test dataset to be used for classification. Each value is a row index into the test matrix. Values are sorted and unique.

test_nrow()

template<typename Index_ >

Index_ singlepp::TrainedIntegrated< Index_ >::test_nrow ( ) const

inline

Returns

Number of rows that should be present in the test dataset.

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

• singlepp/train_integrated.hpp