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