C++ API Reference for Intel® Data Analytics Acceleration Library 2019

References | Namespaces | Classes | Enumerations

References

 Batch
 

Namespaces

 daal::algorithms::linear_regression::quality_metric::group_of_betas
 Contains classes for computing linear regression quality metrics for group of betas.
 
 daal::algorithms::linear_regression::quality_metric::group_of_betas::interface1
 Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 

Classes

struct  Parameter
 Parameters for the compute() method of a group of betas quality metrics. More...
 
class  Input
 Input objects for a group of betas quality metrics More...
 
class  Result
 Provides interface for the result of linear regression quality metrics. More...
 

Enumerations

enum  Method { defaultDense = 0 }
 
enum  DataInputId { expectedResponses, predictedResponses, predictedReducedModelResponses }
 Available identifiers of input objects for a group of betas quality metrics. More...
 
enum  ResultId {
  expectedMeans, expectedVariance, regSS, resSS,
  tSS, determinationCoeff, fStatistics
}
 Available identifiers of the result of a group of betas quality metrics. More...
 

Enumeration Type Documentation

enum DataInputId

Enumerator
expectedResponses 

NumericTable n x k. Expected responses (Y), dependent variables

predictedResponses 

NumericTable n x k. Predicted responses (Z)

predictedReducedModelResponses 

NumericTable n x k. Responses predicted by reduced model where p - p0 of p betas are set to zero

enum Method

Available methods for computing the quality metrics for a group of beta coefficients

Enumerator
defaultDense 

Default method

enum ResultId

Enumerator
expectedMeans 

NumericTable 1 x k. Means of expected responses computed for each dependent variable

expectedVariance 

NumericTable 1 x k. Variance of expected responses computed for each dependent variable

regSS 

NumericTable 1 x k. Regression sum of squares computed for each dependent variable

resSS 

NumericTable 1 x k. Sum of squares of residuals computed for each dependent variable

tSS 

NumericTable 1 x k. Total sum of squares of residuals computed for each dependent variable

determinationCoeff 

NumericTable 1 x k. Determination coefficient computed for each dependent variable

fStatistics 

NumericTable 1 x k. F-statistics computed for each dependent variable

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