ppforest2::stop::MinVariance Class Reference

Stop when the response variance is below a threshold. More...

#include <MinVariance.hpp>

Public Member Functions
	MinVariance (types::Feature threshold)
std::string	display_name () const override
	Human-readable name for display in summaries.
std::set< types::Mode >	supported_modes () const override
	Training modes this strategy supports.
nlohmann::json	to_json () const override
	Serialize this strategy's configuration to JSON.
Public Member Functions inherited from ppforest2::stop::StopRule
bool	should_stop (NodeContext const &ctx, stats::RNG &rng) const
	Determine whether to stop growing at this node.
Public Member Functions inherited from Strategy< StopRule >
virtual	~Strategy ()=default

Static Public Member Functions
static StopRule::Ptr	from_json (nlohmann::json const &j)
Static Public Member Functions inherited from Strategy< StopRule >
static Ptr	from_json (nlohmann::json const &j)
	Construct a strategy from its JSON representation.
static bool	register_strategy (std::string const &name, Factory factory)
	Register a concrete strategy for JSON deserialization.

Public Attributes
types::Feature	threshold

Protected Member Functions
bool	compute (NodeContext const &ctx, stats::RNG &rng) const override
	Subclass implementation of the stop predicate.

Additional Inherited Members
Public Types inherited from Strategy< StopRule >
using	Factory
	Factory function type for deserializing a strategy from JSON.
using	Ptr

Detailed Description

Stop when the response variance is below a threshold.

Useful for regression trees. A node becomes a leaf when the variance of the continuous response among its observations falls below the specified threshold.

Requires NodeContext::continuous_y to be set.

Constructor & Destructor Documentation

MinVariance()

ppforest2::stop::MinVariance::MinVariance ( types::Feature threshold )

explicit

Member Function Documentation

compute()

bool ppforest2::stop::MinVariance::compute ( NodeContext const & ctx, stats::RNG & rng ) const

overrideprotectedvirtual

Subclass implementation of the stop predicate.

Implements ppforest2::stop::StopRule.

display_name()

std::string ppforest2::stop::MinVariance::display_name ( ) const

overridevirtual

Human-readable name for display in summaries.

Implements Strategy< StopRule >.

from_json()

static StopRule::Ptr ppforest2::stop::MinVariance::from_json ( nlohmann::json const & j )

static

supported_modes()

std::set< types::Mode > ppforest2::stop::MinVariance::supported_modes ( ) const

inlineoverridevirtual

Training modes this strategy supports.

Every concrete strategy MUST explicitly declare which modes it supports — there is no default. This forces implementers to think about mode compatibility rather than silently inheriting both modes and triggering runtime surprises.

Used by TrainingSpec to validate that every selected strategy is compatible with the configured training mode. Fails fast at build time instead of silently misbehaving at train time.

Implements Strategy< StopRule >.

to_json()

nlohmann::json ppforest2::stop::MinVariance::to_json ( ) const

overridevirtual

Serialize this strategy's configuration to JSON.

Must include a "name" field identifying the strategy type, plus any strategy-specific parameters.

Implements Strategy< StopRule >.

Member Data Documentation

threshold

types::Feature ppforest2::stop::MinVariance::threshold

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

• core/src/models/strategies/stop/MinVariance.hpp