ppforest2 v0.1.0
Projection Pursuit Decision Trees and Random Forests
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ppforest2::cli::Scenario Struct Reference

A single benchmark scenario: data shape + model config. More...

#include <Benchmark.hpp>

Public Attributes

ConvergenceCriteria convergence
 
std::string data
 
int g = 3
 
int iterations = -1
 
float lambda = 0.5f
 
int n = 1000
 
std::string name
 
int p = 10
 
int seed = 0
 
int size = 100
 
int threads = -1
 
float train_ratio = 0.7f
 
float vars = 0.5f
 
int warmup = 0
 

Detailed Description

A single benchmark scenario: data shape + model config.

Member Data Documentation

◆ convergence

ConvergenceCriteria ppforest2::cli::Scenario::convergence

◆ data

std::string ppforest2::cli::Scenario::data

◆ g

int ppforest2::cli::Scenario::g = 3

◆ iterations

int ppforest2::cli::Scenario::iterations = -1

◆ lambda

float ppforest2::cli::Scenario::lambda = 0.5f

◆ n

int ppforest2::cli::Scenario::n = 1000

◆ name

std::string ppforest2::cli::Scenario::name

◆ p

int ppforest2::cli::Scenario::p = 10

◆ seed

int ppforest2::cli::Scenario::seed = 0

◆ size

int ppforest2::cli::Scenario::size = 100

◆ threads

int ppforest2::cli::Scenario::threads = -1

◆ train_ratio

float ppforest2::cli::Scenario::train_ratio = 0.7f

◆ vars

float ppforest2::cli::Scenario::vars = 0.5f

◆ warmup

int ppforest2::cli::Scenario::warmup = 0

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