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

List of all members
Batch Class Reference

Class that represents a quality metric set to check the model trained with linear regression algorithm. More...

Class Declaration

Enumerations
References

Constructor & Destructor Documentation

Batch ( size_t  nBeta,
size_t  nBetaReducedModel,
bool  useDefaultMetrics = true 
)
inline

Constructs a quality metric set for the model trained with the linear regression algorithm

Parameters
[in]useDefaultMetricsFlag. If true, a quality metric set is initialized with the quality metrics provided by the library
[in]nBetaNumber of beta coefficients (p) of linear regression model used for prediction
[in]nBetaReducedModelNumber of beta coefficients (p0) used for prediction with reduced linear regression model where p - p0 of p beta coefficients are set to 0

Member Function Documentation

InputDataCollectionPtr getInputDataCollection ( )
inline

Returns the collection of input objects of the quality metrics algorithm

Returns
Collection of input objects of the quality metrics algorithm
ResultCollectionPtr getResultCollection ( )
inline

Returns the structure that contains a computed quality metric set

Returns
Structure that contains a computed quality metric set

Member Data Documentation

Parameter parameter

Parameters of the algorithm


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