Java* API Reference for Intel® Data Analytics Acceleration Library 2019
Contains classes for computing the result of the linear regression algorithm.
Packages | |
| package | prediction |
| Contains classes for linear regression model-based prediction. | |
| package | quality_metric |
| Contains classes for computing the single beta metric. | |
| package | quality_metric_set |
| Contains classes to check the quality of the model trained with linear regression algorithm. | |
| package | training |
| Contains classes for linear regression model-based training. | |
Classes | |
| class | Model |
| Base class for models trained by the linear regression training algorithm More... | |
| class | ModelNormEq |
| Model trained by the linear regression algorithm using the normal equations method More... | |
| class | ModelQR |
| Model trained by the linear regression algorithm using the QR decomposition-based method More... | |
| class | Parameter |
| Linear regression algorithm parameters. More... | |
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