Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

List of all members
QualityMetricSetParameter Class Reference

Class for the parameter of the linear regression quality metrics set algorithm. More...

Detailed Description

Member Function Documentation

◆ getAccuracyThreshold()

double getAccuracyThreshold ( )

Retrieves the accuracy of the algorithm (used for statistics calculation)

Returns
Accuracy of the algorithm

◆ getAlpha()

double getAlpha ( )

Retrieves the significance level used in the computation of beta confidence intervals

Returns
Significance level of the algorithm

◆ getNBeta()

long getNBeta ( )

Gets the number of beta coefficients

Returns
Number of betas

◆ getNBetaReducedModel()

long getNBetaReducedModel ( )

Gets the number of beta coefficients in reduced model

Returns
Number of betas in reduced model

◆ setAccuracyThreshold()

void setAccuracyThreshold ( double  accuracyThreshold)

Sets the accuracy of the algorithm (used for statistics calculation)

Parameters
accuracyThresholdAccuracy of the algorithm

◆ setAlpha()

void setAlpha ( double  alpha)

Sets the significance level used in the computation of beta confidence intervals

Parameters
alphaSignificance level of the algorithm

◆ setNBeta()

void setNBeta ( long  nBeta)

Sets the number of beta coefficients

Parameters
nBetaNumber of beta coefficients in the model

◆ setNBetaReducedModel()

void setNBetaReducedModel ( long  nBetaReducedModel)

Sets the number of beta coefficients

Parameters
nBetaReducedModelNumber of beta coefficients in the model

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

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