Java* API Reference for Intel® Data Analytics Acceleration Library 2019

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

double getAccuracyThreshold ( )

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

Returns
Accuracy of the algorithm
double getAlpha ( )

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

Returns
Significance level of the algorithm
long getNBeta ( )

Gets the number of beta coefficients

Returns
Number of betas
long getNBetaReducedModel ( )

Gets the number of beta coefficients in reduced model

Returns
Number of betas in reduced model
void setAccuracyThreshold ( double  accuracyThreshold)

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

Parameters
accuracyThresholdAccuracy of the algorithm
void setAlpha ( double  alpha)

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

Parameters
alphaSignificance level of the algorithm
void setNBeta ( long  nBeta)

Sets the number of beta coefficients

Parameters
nBetaNumber of beta coefficients in the model
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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