Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Provides methods to train models that depend on the data provided in batch mode. For example, these methods enable training the linear regression model. Classes that implement specific algorithms of model training in batch mode are derived classes of the TrainingBatch class. The class additionally provides methods for validation of input and output parameters of the algorithms. More...
TrainingBatch | ( | DaalContext | context | ) |
Constructs the training algorithm
context | Context to manage the training algorithm |
void checkComputeParams | ( | ) |
Validates parameters of the compute method
|
abstract |
Returns the newly allocated training algorithm with a copy of input objects and parameters of this algorithm
context | Context to manage the training algorithm |
Result compute | ( | ) |
Computes final results of the algorithm in batch mode.
void dispose | ( | ) |
Releases memory allocated for the native algorithm object
Implements Disposable.
For more complete information about compiler optimizations, see our Optimization Notice.