C# Client Library
A C# Client Library for the AnalyzeRe REST API
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Public Member Functions | Protected Member Functions | Properties | List of all members
AnalyzeRe.Optimization.SensitivityAnalysis.LayerSensitivity Class Reference

One layer sensitivity parameters. More...

Public Member Functions

virtual T ShallowCopy< T > ()
 Create a shallow copy of this object.

See also
ExtensionMethods.DeepCopy<T>

for a serializer-based copy method.

 

Protected Member Functions

virtual void AfterMembersCloned (APIType originalResource)
 Invoked following construction if the current instance has been created using a member-wise clone of some other instance. Override if your derived APIType class contains some members that should not be cloned.
 

Properties

OrderedDictionary hist [get, set]
 Normalized 20 bins histogram of the layer possible participation. Each bin is for a 5% range (0-0.05, 0.05-0.1, ..., 0.95-1.
 
double max [get, set]
 Maximum possible layer participation.
 
double mean [get, set]
 Average layer participation between all candidates.
 
double min [get, set]
 Minimum possible layer participation.
 
double normalized_interquartile_range [get, set]
 Normalized interquartile range of a layer participation.
 
double normalized_standard_deviation [get, set]
 Normalized standard deviation of a layer participation.
 
string ref_id [get, set]
 Layer reference ID.
 

Detailed Description

One layer sensitivity parameters.

Definition at line 18 of file SensitivityAnalysis.cs.

Inheritance diagram for AnalyzeRe.Optimization.SensitivityAnalysis.LayerSensitivity:
AnalyzeRe.APIType AnalyzeRe.IAPIType

Member Function Documentation

◆ AfterMembersCloned()

virtual void AnalyzeRe.APIType.AfterMembersCloned ( APIType  originalResource)
inlineprotectedvirtualinherited

Invoked following construction if the current instance has been created using a member-wise clone of some other instance. Override if your derived APIType class contains some members that should not be cloned.

Overriding implementations should be sure to invoke base.AfterMembersCloned().

A sane question for a code reviewer to ask might be: "Why not avoid copying those members in the first place?" The answer is that there is no framework-supported method of excluding members from a MemberwiseClone. The only officially supported solution is to not use the object.MemberwiseClone method at all and instead have each class implement it's own Copy method. In our case, most objects have no need to specialize their copy implementation (even though they could - the ShallowCopy<T> method is marked virtual). It's simpler to simply "correct" any special-case members after the fact, and requires less error-prone code than if the code were responsible for ensuring no members were missed in a copy. It's also faster than any reflection-based approach, even though such an approach could benefit from custom attributes meant to exclude certain members from copying.

Reimplemented in AnalyzeRe.APITypes.APIResource_WithDataEndpoint, AnalyzeRe.APIResourceView.BaseAPIResourceView, AnalyzeRe.Distributions.CustomDistribution, AnalyzeRe.LossSets.LossSet_WithData, AnalyzeRe.Optimization.Candidate, AnalyzeRe.Optimization.OptimizationView, and AnalyzeRe.StaticSimulation.

Definition at line 37 of file APIType.cs.

◆ ShallowCopy< T >()

virtual T AnalyzeRe.APIType.ShallowCopy< T > ( )
inlinevirtualinherited

Create a shallow copy of this object.

See also
ExtensionMethods.DeepCopy<T>

for a serializer-based copy method.

Returns
A shallow copy of this object.

If this object contains any members that reference the current object (this), the class should override this method to avoid cloning a reference to the old class.

Implements AnalyzeRe.IAPIType.

Type Constraints
T :IAPIType 

Definition at line 14 of file APIType.cs.

Property Documentation

◆ hist

OrderedDictionary AnalyzeRe.Optimization.SensitivityAnalysis.LayerSensitivity.hist
getset

Normalized 20 bins histogram of the layer possible participation. Each bin is for a 5% range (0-0.05, 0.05-0.1, ..., 0.95-1.

Definition at line 54 of file SensitivityAnalysis.cs.

◆ max

double AnalyzeRe.Optimization.SensitivityAnalysis.LayerSensitivity.max
getset

Maximum possible layer participation.

Definition at line 33 of file SensitivityAnalysis.cs.

◆ mean

double AnalyzeRe.Optimization.SensitivityAnalysis.LayerSensitivity.mean
getset

Average layer participation between all candidates.

Definition at line 38 of file SensitivityAnalysis.cs.

◆ min

double AnalyzeRe.Optimization.SensitivityAnalysis.LayerSensitivity.min
getset

Minimum possible layer participation.

Definition at line 28 of file SensitivityAnalysis.cs.

◆ normalized_interquartile_range

double AnalyzeRe.Optimization.SensitivityAnalysis.LayerSensitivity.normalized_interquartile_range
getset

Normalized interquartile range of a layer participation.

Definition at line 43 of file SensitivityAnalysis.cs.

◆ normalized_standard_deviation

double AnalyzeRe.Optimization.SensitivityAnalysis.LayerSensitivity.normalized_standard_deviation
getset

Normalized standard deviation of a layer participation.

Definition at line 48 of file SensitivityAnalysis.cs.

◆ ref_id

string AnalyzeRe.Optimization.SensitivityAnalysis.LayerSensitivity.ref_id
getset

Layer reference ID.

Definition at line 23 of file SensitivityAnalysis.cs.

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