Java* API Reference for Intel® Data Analytics Acceleration Library 2019
Provides methods for linear regression model-based training in the batch processing mode. More...
| TrainingBatch | ( | DaalContext | context, |
| TrainingBatch | other | ||
| ) |
Constructs a linear regression training algorithm by copying input objects and parameters of another linear regression training algorithm in the batch processing mode
| context | Context to manage linear regression model-based training |
| other | Algorithm to use as the source to initialize the input objects and parameters of the algorithm |
| TrainingBatch | ( | DaalContext | context, |
| Class<?extends Number > | cls, | ||
| TrainingMethod | method | ||
| ) |
Constructs the linear regression training algorithm in the batch processing mode
| context | Context to manage linear regression model-based training |
| cls | Data type to use in intermediate computations of linear regression, Double.class or Float.class |
| method | Algorithm computation method, TrainingMethod |
| TrainingBatch clone | ( | DaalContext | context | ) |
Returns a newly allocated linear regression training algorithm with a copy of the input objects and parameters of this linear regression training algorithm in the batch processing mode
| context | Context to manage linear regression model-based training |
| TrainingResult compute | ( | ) |
Computes the result of linear regression model-based training in the batch processing mode
| Input input |
Input data
| TrainingMethod method |
Training method for the algorithm
| Parameter parameter |
Parameters of the algorithm
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