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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