sam::OutliersRemoval¶

Module: Hacking Strategies

Declaration of Outlier Removal hacking method based on items' distance from their sample mean. #include <HackingStrategy.h>

Inherits from sam::HackingStrategy

Public Classes¶

	Name
struct	Parameters

Public Functions¶

	Name
	OutliersRemoval() =default
	OutliersRemoval(const Parameters & p)
virtual void	perform(Experiment * experiment) override Implementation of Outliers Removal based on an item's distance from the \mu.

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_

Public Functions Documentation¶

function OutliersRemoval¶

OutliersRemoval() =default

function OutliersRemoval¶

inline explicit OutliersRemoval(
    const Parameters & p
)

function perform¶

virtual void perform(
    Experiment * experiment
) override

Implementation of Outliers Removal based on an item's distance from the \mu.

Reimplements: sam::HackingStrategy::perform

Removing outliers n at a time, for the total of n_attempts It'll stop either when n_attempts are exhausted, or there is no more observations left to be removed

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