kodama-cpp
Standalone float32 KODAMA kernels for CPU, CUDA, and Apple Metal
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kodama::NormalizationResult Struct Reference

#include <kodama.hpp>

Public Attributes

std::vector< float > train
 
std::vector< float > test
 
std::vector< float > train_coefficients
 
std::vector< float > test_coefficients
 
std::vector< float > reference
 
std::size_t train_rows = 0
 
std::size_t test_rows = 0
 
std::size_t variables = 0
 
NormalizationMethod method = NormalizationMethod::PQN
 
Backend backend = Backend::CPU
 
double runtime_seconds = 0.0
 

Detailed Description

Definition at line 774 of file kodama.hpp.

Member Data Documentation

◆ backend

Backend kodama::NormalizationResult::backend = Backend::CPU

Definition at line 784 of file kodama.hpp.

◆ method

NormalizationMethod kodama::NormalizationResult::method = NormalizationMethod::PQN

Definition at line 783 of file kodama.hpp.

◆ reference

std::vector<float> kodama::NormalizationResult::reference

Definition at line 779 of file kodama.hpp.

◆ runtime_seconds

double kodama::NormalizationResult::runtime_seconds = 0.0

Definition at line 785 of file kodama.hpp.

◆ test

std::vector<float> kodama::NormalizationResult::test

Definition at line 776 of file kodama.hpp.

◆ test_coefficients

std::vector<float> kodama::NormalizationResult::test_coefficients

Definition at line 778 of file kodama.hpp.

◆ test_rows

std::size_t kodama::NormalizationResult::test_rows = 0

Definition at line 781 of file kodama.hpp.

◆ train

std::vector<float> kodama::NormalizationResult::train

Definition at line 775 of file kodama.hpp.

◆ train_coefficients

std::vector<float> kodama::NormalizationResult::train_coefficients

Definition at line 777 of file kodama.hpp.

◆ train_rows

std::size_t kodama::NormalizationResult::train_rows = 0

Definition at line 780 of file kodama.hpp.

◆ variables

std::size_t kodama::NormalizationResult::variables = 0

Definition at line 782 of file kodama.hpp.


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