Class for the parameter of the linear regression quality metrics set algorithm.
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◆ getAccuracyThreshold()
double getAccuracyThreshold |
( |
| ) |
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Retrieves the accuracy of the algorithm (used for statistics calculation)
- Returns
- Accuracy of the algorithm
◆ getAlpha()
Retrieves the significance level used in the computation of beta confidence intervals
- Returns
- Significance level of the algorithm
◆ getNBeta()
Gets the number of beta coefficients
- Returns
- Number of betas
◆ getNBetaReducedModel()
long getNBetaReducedModel |
( |
| ) |
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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
-
accuracyThreshold | Accuracy of the algorithm |
◆ setAlpha()
void setAlpha |
( |
double |
alpha | ) |
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Sets the significance level used in the computation of beta confidence intervals
- Parameters
-
alpha | Significance level of the algorithm |
◆ setNBeta()
void setNBeta |
( |
long |
nBeta | ) |
|
Sets the number of beta coefficients
- Parameters
-
nBeta | Number of beta coefficients in the model |
◆ setNBetaReducedModel()
void setNBetaReducedModel |
( |
long |
nBetaReducedModel | ) |
|
Sets the number of beta coefficients
- Parameters
-
nBetaReducedModel | Number of beta coefficients in the model |
The documentation for this class was generated from the following file:
- linear_regression/quality_metric_set/QualityMetricSetParameter.java