C# Client Library
A C# Client Library for the AnalyzeRe REST API
AnalyzeRe.Metrics.TailDistributionMetrics Class Reference

The structure returned when requesting Tail Metrics for a view. 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. More...

 

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. More...
 

Properties

double kurtosis = Double.NaN [get, set]
 Kurtosis More...
 
double max = Double.NaN [get, set]
 The maximum value in the distribution. More...
 
double mean = Double.NaN [get, set]
 The mean of the distribution. More...
 
double min [get, set]
 The minimum value in the distribution. More...
 
double skewness = Double.NaN [get, set]
 Skewness More...
 
double variance = Double.NaN [get, set]
 The variance of the distribution. More...
 

Detailed Description

The structure returned when requesting Tail Metrics for a view.

See also
IAPIResourceView.tail_metrics(double, MetricsOptions)

Definition at line 9 of file TailDistributionMetrics.cs.

Inheritance diagram for AnalyzeRe.Metrics.TailDistributionMetrics:
AnalyzeRe.APIType AnalyzeRe.IAPIType AnalyzeRe.Metrics.TailMetrics AnalyzeRe.Metrics.WindowMetrics

Member Function Documentation

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

Definition at line 37 of file APIType.cs.

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

double AnalyzeRe.Metrics.TailDistributionMetrics.kurtosis = Double.NaN
getset

Kurtosis

Definition at line 35 of file TailDistributionMetrics.cs.

double AnalyzeRe.Metrics.TailDistributionMetrics.max = Double.NaN
getset

The maximum value in the distribution.

Definition at line 23 of file TailDistributionMetrics.cs.

double AnalyzeRe.Metrics.TailDistributionMetrics.mean = Double.NaN
getset

The mean of the distribution.

Definition at line 19 of file TailDistributionMetrics.cs.

double AnalyzeRe.Metrics.TailDistributionMetrics.min
getset

The minimum value in the distribution.

Definition at line 14 of file TailDistributionMetrics.cs.

double AnalyzeRe.Metrics.TailDistributionMetrics.skewness = Double.NaN
getset

Skewness

Definition at line 31 of file TailDistributionMetrics.cs.

double AnalyzeRe.Metrics.TailDistributionMetrics.variance = Double.NaN
getset

The variance of the distribution.

Definition at line 27 of file TailDistributionMetrics.cs.


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