C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Contains classes of the linear regression algorithm.
Namespaces | |
interface1 | |
Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface. | |
prediction | |
Contains a class for making linear regression model-based prediction. | |
quality_metric | |
Contains classes for computing linear regression quality metrics. | |
quality_metric_set | |
Contains classes to check the quality of the model trained with the linear regression algorithm. | |
training | |
Contains a class for linear regression model-based training. | |
Functions | |
DAAL_EXPORT services::Status | checkModel (linear_regression::Model *model, const daal::algorithms::Parameter &par, size_t nBeta, size_t nResponses, int method) |
DAAL_EXPORT services::Status daal::algorithms::linear_regression::checkModel | ( | linear_regression::Model * | model, |
const daal::algorithms::Parameter & | par, | ||
size_t | nBeta, | ||
size_t | nResponses, | ||
int | method | ||
) |
Checks the correctness of linear regression model
[in] | model | The model to check |
[in] | par | The parameter of linear regression algorithm |
[in] | nBeta | Required number of linear regression coefficients |
[in] | nResponses | Required number of responses on the training stage |
[in] | method | Computation method |
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