sam::SubjectiveOutlierRemoval¶

Module: Hacking Strategies

The subjective outlier removal refers to a type of outliers removal where the researcher continuously lowers the threshold of identifying an outlier, k, until it finds a significant (or satisfactory) result. More...

#include <HackingStrategy.h>

Inherits from sam::HackingStrategy

Public Classes¶

	Name
struct	Parameters SubjectiveOutlierRemoval's parameters.

Public Functions¶

	Name
	SubjectiveOutlierRemoval() =default
	SubjectiveOutlierRemoval(const Parameters & p)

Public Attributes¶

	Name
Parameters	params
PolicyChain	stopping_condition

Additional inherited members¶

Public Functions inherited from sam::HackingStrategy

	Name
virtual	~HackingStrategy() =0 Pure destructor of the Base class. This is important for proper deconstruction of Derived classes.
	HackingStrategy()
void	operator()(Experiment * experiment)
float	defensibility() const
float	prevalence() const
HackingStage	stage() const
HackingTarget	target() const
std::unique_ptr< HackingStrategy >	build(json & hacking_strategy_config) Factory method for building a HackingStrategy.

Public Attributes inherited from sam::HackingStrategy

	Name
sol::state	lua
std::optional< float >	defensibility_
std::optional< float >	prevalence_
HackingStage	stage_
HackingTarget	target_

Detailed Description¶

class sam::SubjectiveOutlierRemoval;

The subjective outlier removal refers to a type of outliers removal where the researcher continuously lowers the threshold of identifying an outlier, k, until it finds a significant (or satisfactory) result.

See: ResearchStrategy

Public Functions Documentation¶

function SubjectiveOutlierRemoval¶

SubjectiveOutlierRemoval() =default

function SubjectiveOutlierRemoval¶

inline explicit SubjectiveOutlierRemoval(
    const Parameters & p
)

Public Attributes Documentation¶

variable params¶

Parameters params;

variable stopping_condition¶

PolicyChain stopping_condition;

Updated on 29 June 2021 at 16:13:47 CEST

Last update: 2021-09-18