Computes the linear regression regression group of betas quality metrics in batch processing mode.
More...
◆ GroupOfBetasBatch() [1/2]
Constructs the group of betas quality metrics algorithm in the batch processing mode by copying input objects and parameters of another single beta quality metrics algorithm
- Parameters
-
context | Context to manage the group of betas quality metrics algorithm |
other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
◆ GroupOfBetasBatch() [2/2]
Constructs the group of betas quality metrics algorithm in the batch processing mode
- Parameters
-
context | Context to manage the group of betas quality metrics algorithm |
cls | Data type to use in intermediate computations of the group of betas quality metrics, Double.class or Float.class |
method | Method for computing the group of betasquality metrics, GroupOfBetasMethod |
nBeta | Number of beta coefficients (p) of linear regression model used for prediction |
nBetaReducedModel | Number of beta coefficients (p0) used for prediction with reduced linear regression model where p - p0 of p beta coefficients are set to 0 |
◆ clone()
Returns the newly allocated single beta quality metrics algorithm with a copy of input objects and parameters of this single beta quality metrics algorithm
- Parameters
-
context | Context to manage the group of betas quality metrics algorithm |
- Returns
- The newly allocated algorithm
◆ compute()
Computes the group of betasquality metrics
- Returns
- Structure that contains results of the group of betasquality metrics algorithm
◆ setResult()
Registers user-allocated memory for storing results of the group of betas quality metrics algorithm
- Parameters
-
result | Structure for storing results of the group of betas quality metrics algorithm |
The documentation for this class was generated from the following file: