ppforest2::io::EvaluateResult Struct Reference

Summary of an evaluation run. More...

#include <EvaluateResult.hpp>

Public Member Functions
	EvaluateResult ()=default
	EvaluateResult (nlohmann::json const &j)
nlohmann::json	to_json () const

Public Attributes
std::string	data_path
	Data source path (empty for simulated data).
int	g = 0
	Number of groups (0 for regression).
double	mean_te_error = 0
double	mean_time_ms = 0
double	mean_tr_error = 0
types::Mode	mode = types::Mode::Classification
	Training mode.
int	n = 0
	Number of observations.
std::optional< int >	n_vars
	Variable count (integer mode).
int	p = 0
	Number of features.
std::optional< float >	p_vars
	Variable proportion.
std::optional< long >	peak_rss_bytes
std::optional< double >	peak_rss_mb
int	runs = 0
int	size = 0
	Forest size (number of trees).
double	std_time_ms = 0
float	train_ratio = 0.7F
	Train/test split ratio.

Detailed Description

Summary of an evaluation run.

Contains data dimensions, aggregated timing/error metrics, and optional memory usage. Produced by ModelStats::summarize() on the evaluate side, and deserialized from JSON on the benchmark side.

Constructor & Destructor Documentation

EvaluateResult() [1/2]

ppforest2::io::EvaluateResult::EvaluateResult ( )

default

EvaluateResult() [2/2]

ppforest2::io::EvaluateResult::EvaluateResult ( nlohmann::json const & j )

explicit

Member Function Documentation

to_json()

nlohmann::json ppforest2::io::EvaluateResult::to_json

(

)

const

Member Data Documentation

data_path

std::string ppforest2::io::EvaluateResult::data_path

Data source path (empty for simulated data).

g

int ppforest2::io::EvaluateResult::g = 0

Number of groups (0 for regression).

mean_te_error

double ppforest2::io::EvaluateResult::mean_te_error = 0

mean_time_ms

double ppforest2::io::EvaluateResult::mean_time_ms = 0

mean_tr_error

double ppforest2::io::EvaluateResult::mean_tr_error = 0

mode

types::Mode ppforest2::io::EvaluateResult::mode = types::Mode::Classification

Training mode.

n

int ppforest2::io::EvaluateResult::n = 0

Number of observations.

n_vars

std::optional<int> ppforest2::io::EvaluateResult::n_vars

Variable count (integer mode).

p

int ppforest2::io::EvaluateResult::p = 0

Number of features.

p_vars

std::optional<float> ppforest2::io::EvaluateResult::p_vars

Variable proportion.

peak_rss_bytes

std::optional<long> ppforest2::io::EvaluateResult::peak_rss_bytes

peak_rss_mb

std::optional<double> ppforest2::io::EvaluateResult::peak_rss_mb

runs

int ppforest2::io::EvaluateResult::runs = 0

size

int ppforest2::io::EvaluateResult::size = 0

Forest size (number of trees).

std_time_ms

double ppforest2::io::EvaluateResult::std_time_ms = 0

train_ratio

float ppforest2::io::EvaluateResult::train_ratio = 0.7F

Train/test split ratio.

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

• core/src/io/EvaluateResult.hpp