Java* API Reference for Intel® Data Analytics Acceleration Library 2019

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TrainingBatch Class Referenceabstract

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...

Class Constructor

TrainingBatch ( DaalContext  context)

Constructs the training algorithm

Parameters
contextContext to manage the training algorithm

Detailed Description

Member Function Documentation

void checkComputeParams ( )

Validates parameters of the compute method

abstract TrainingBatch clone ( DaalContext  context)
abstract

Returns the newly allocated training algorithm with a copy of input objects and parameters of this algorithm

Parameters
contextContext to manage the training algorithm
Returns
The newly allocated algorithm
Result compute ( )

Computes final results of the algorithm in batch mode.

Returns
Final results of the algorithm
void dispose ( )

Releases memory allocated for the native algorithm object

Implements Disposable.


The documentation for this class was generated from the following file:

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