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 # MOP quality measure

 Last update: 16.07.2025 

This provides means to mease the approximation quality of models. [More...](#details)

## <a name="nested-classes"></a>Classes

struct [CoD](struct_co_d.xhtml) Reference implementation for a quality metric for [MOP](class_m_o_p.xhtml "a group of random fields belonging together (either a single random field, or multiple cross-correlat...") models. [More...](struct_co_d.xhtml#details)  
 struct [CoD\_adj](struct_co_d__adj.xhtml) Reference implementation for a quality metric for [MOP](class_m_o_p.xhtml "a group of random fields belonging together (either a single random field, or multiple cross-correlat...") models. [More...](struct_co_d__adj.xhtml#details)  
 struct [CoP](struct_co_p.xhtml) Reference implementation for a quality metric for [MOP](class_m_o_p.xhtml "a group of random fields belonging together (either a single random field, or multiple cross-correlat...") models. [More...](struct_co_p.xhtml#details)  
 struct [QualityMeasureBase](struct_quality_measure_base.xhtml) API for different quality metrics for [MOP](class_m_o_p.xhtml "a group of random fields belonging together (either a single random field, or multiple cross-correlat...") models. [More...](struct_quality_measure_base.xhtml#details)  
 class [Residuals](class_residuals.xhtml) The estimator class creates an abstraction for classes the QualityMeasure may be evaluated for in the [MOP](class_m_o_p.xhtml "a group of random fields belonging together (either a single random field, or multiple cross-correlat...") framework. It abstracts the essential data necessary in an quality measurement which can be done based on Three information: Approximation: This is data estimated using any approximation type CrossValidation: This is data that is estimated explicitly using cross-validation sets generated by the [MOP](class_m_o_p.xhtml "a group of random fields belonging together (either a single random field, or multiple cross-correlat...") handler AdjustmentCoefficient: This is a value in the range 1,...,N where N is the number of samples provided to the Estimator. [More...](class_residuals.xhtml#details)  
 struct [ResidualsBase](struct_residuals_base.xhtml) The [Residuals](class_residuals.xhtml "The estimator class creates an abstraction for classes the QualityMeasure may be evaluated for in the...") class creates an abstraction for classes the QualityMeasure may be evaluated for in the [MOP](class_m_o_p.xhtml "a group of random fields belonging together (either a single random field, or multiple cross-correlat...") framework. It abstracts the essential data necessary in an quality measurement which can be done based on Three information: approximationResiduals: This is data estimated using any approximation type crossValidationResiduals: This is data that is estimated explicitly using cross-validation sets generated by the [MOP](class_m_o_p.xhtml "a group of random fields belonging together (either a single random field, or multiple cross-correlat...") handler adjustmentCoefficient: This is a value in the range 1,...,N where N is the number of samples provided to the Estimator. [More...](struct_residuals_base.xhtml#details)  
 ## <a name="var-members"></a>Variables

<a id="ga19c68a1522b497b227fd93ae875acc03"></a>nodefaultctor **QualityMeasureBase** <a id="details" name="details"></a>## Detailed Description

This provides means to mease the approximation quality of models.