Model training parameters shared by train and evaluate. More...

#include <ModelParams.hpp>

Public Member Functions
	ModelParams ()=default

	ModelParams (nlohmann::json const &config)
	Construct from a JSON config object.

void	resolve ()
	Parse strategy input strings and p_vars input into their final form.

void	resolve_defaults (unsigned int total_vars)
	Fill in runtime defaults (threads, vars, strategy configs).

nlohmann::json	to_json () const
	Serialize to JSON config.

Static Public Member Functions
static void	validate (nlohmann::json const &config, std::vector< std::string > &errors)
	Validate model-related fields in a JSON config.

Public Attributes
nlohmann::json	binarize_config

std::string	binarize_input

nlohmann::json	cutpoint_config

std::string	cutpoint_input

nlohmann::json	grouping_config

std::string	grouping_input

float	lambda = 0.0

nlohmann::json	leaf_config

std::string	leaf_input

int	max_retries = 3

std::string	mode_input
	Training mode ("classification" or "regression").

std::optional< int >	n_vars

std::optional< float >	p_vars

std::string	p_vars_input

nlohmann::json	pp_config
	Strategy JSON objects (from CLI strings or config file).

std::string	pp_input
	Explicit strategy inputs (–X flags).

std::optional< int >	seed

int	size = 100

nlohmann::json	stop_config

std::vector< std::string >	stop_inputs
	Repeated `--stop` flag values.

std::optional< int >	threads

nlohmann::json	vars_config

std::string	vars_input

Detailed Description

Model training parameters shared by train and evaluate.

Constructor & Destructor Documentation

◆ ModelParams() [1/2]

ppforest2::cli::ModelParams::ModelParams ( )

default

◆ ModelParams() [2/2]

ppforest2::cli::ModelParams::ModelParams ( nlohmann::json const & config )

explicit

Construct from a JSON config object.

Member Function Documentation

◆ resolve()

void ppforest2::cli::ModelParams::resolve ( )

Parse strategy input strings and p_vars input into their final form.

◆ resolve_defaults()

void ppforest2::cli::ModelParams::resolve_defaults ( unsigned int total_vars )

Fill in runtime defaults (threads, vars, strategy configs).

◆ to_json()

nlohmann::json ppforest2::cli::ModelParams::to_json ( ) const

Serialize to JSON config.

◆ validate()

static void ppforest2::cli::ModelParams::validate	(	nlohmann::json const &	config,
		std::vector< std::string > &	errors )

static

Validate model-related fields in a JSON config.

Member Data Documentation

◆ binarize_config

nlohmann::json ppforest2::cli::ModelParams::binarize_config

◆ binarize_input

std::string ppforest2::cli::ModelParams::binarize_input

◆ cutpoint_config

nlohmann::json ppforest2::cli::ModelParams::cutpoint_config

◆ cutpoint_input

std::string ppforest2::cli::ModelParams::cutpoint_input

◆ grouping_config

nlohmann::json ppforest2::cli::ModelParams::grouping_config

◆ grouping_input

std::string ppforest2::cli::ModelParams::grouping_input

◆ lambda

float ppforest2::cli::ModelParams::lambda = 0.0

◆ leaf_config

nlohmann::json ppforest2::cli::ModelParams::leaf_config

◆ leaf_input

std::string ppforest2::cli::ModelParams::leaf_input

◆ max_retries

int ppforest2::cli::ModelParams::max_retries = 3

◆ mode_input

std::string ppforest2::cli::ModelParams::mode_input

Training mode ("classification" or "regression").

Empty default = "infer from data": for --data, the CSV reader detects regression from fractional y values and read_data populates this; for --simulate, no data exists yet so we fall back to "classification". -m,--mode overrides both paths.

◆ n_vars

std::optional<int> ppforest2::cli::ModelParams::n_vars

◆ p_vars

std::optional<float> ppforest2::cli::ModelParams::p_vars

◆ p_vars_input

std::string ppforest2::cli::ModelParams::p_vars_input

◆ pp_config

nlohmann::json ppforest2::cli::ModelParams::pp_config

Strategy JSON objects (from CLI strings or config file).

◆ pp_input

std::string ppforest2::cli::ModelParams::pp_input

Explicit strategy inputs (–X flags).

◆ seed

std::optional<int> ppforest2::cli::ModelParams::seed

◆ size

int ppforest2::cli::ModelParams::size = 100

◆ stop_config

nlohmann::json ppforest2::cli::ModelParams::stop_config

◆ stop_inputs

std::vector<std::string> ppforest2::cli::ModelParams::stop_inputs

Repeated --stop flag values.

The only strategy flag that accepts repeats: multiple occurrences collect into this vector and are composed into a CompositeStop any-rule at resolve() time. A single --stop behaves unchanged.

◆ threads

std::optional<int> ppforest2::cli::ModelParams::threads

◆ vars_config

nlohmann::json ppforest2::cli::ModelParams::vars_config

◆ vars_input

std::string ppforest2::cli::ModelParams::vars_input

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

core/src/cli/ModelParams.hpp

Public Member Functions

Static Public Member Functions

Public Attributes