Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

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PredictionDistributed Class Referenceabstract

Provides prediction methods depending on the model such as linearregression.Model. The methods of the class support different computation modes: batch, distributed, and online(see ComputeMode). Classes that implement specific algorithms of the model based data prediction are derived classes of the PredictionDistributed class. The class additionally provides virtual methods for validation of input and output parameters of the algorithms. More...

Class Constructor

Constructs the prediction algorithm in the distributed processing mode

Parameters
contextContext to manage the prediction algorithm in the distributed processing mode

Detailed Description

Member Function Documentation

void checkComputeParams ( )

Validates parameters of the compute method

abstract PredictionDistributed clone ( DaalContext  context)
abstract

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

Parameters
contextContext to manage the prediction algorithm
Returns
The newly allocated algorithm
PartialResult compute ( )

Computes prediction results based on the model

Returns
PredictionDistributed results
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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