C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

Namespaces | Enumerations
daal::algorithms::linear_regression::quality_metric::single_beta Namespace Reference

Contains classes for computing linear regression quality metrics for single beta.

Namespaces

 interface1
 Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 

Enumerations

enum  Method { defaultDense = 0 }
 
enum  DataInputId { expectedResponses, predictedResponses }
 Available identifiers of input objects for a single beta quality metrics. More...
 
enum  ModelInputId { model = lastDataInputId + 1 }
 Available identifiers of input objects for single beta quality metrics. More...
 
enum  ResultId {
  rms, variance, zScore, confidenceIntervals,
  inverseOfXtX
}
 Available identifiers of the result of single beta quality metrics. More...
 
enum  ResultDataCollectionId { betaCovariances = lastResultId + 1 }
 Available identifiers of the result of single beta quality metrics. More...
 

Enumeration Type Documentation

Enumerator
expectedResponses 

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

predictedResponses 

NumericTable n x k. Predicted responses (Z)

enum Method

Available methods for computing the quality metrics for a single beta coefficient

Enumerator
defaultDense 

Default method

Enumerator
model 

Linear regression model

Enumerator
betaCovariances 

DataColection, contains k numeric tables with nBeta x nBeta variance-covariance matrix for betas of each response (dependent variable)

enum ResultId

Enumerator
rms 

NumericTable 1 x k. Root means square errors computed for each response (dependent variable)

variance 

NumericTable 1 x k. Variance computed for each response (dependent variable)

zScore 

NumericTable k x nBeta. Z-score statistics used in testing of insignificance one beta coefficient. H0: beta[i]=0

confidenceIntervals 

NumericTable k x 2 x nBeta. Limits of the confidence intervals for each beta

inverseOfXtX 

NumericTable nBeta x nBeta. Inverse(Xt * X) matrix

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