Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2
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...
PredictionDistributed | ( | DaalContext | context | ) |
Constructs the prediction algorithm in the distributed processing mode
context | Context to manage the prediction algorithm in the distributed processing mode |
void checkComputeParams | ( | ) |
Validates parameters of the compute method
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abstract |
Returns the newly allocated prediction algorithm with a copy of input objects and parameters of this algorithm
context | Context to manage the prediction algorithm |
PartialResult compute | ( | ) |
Computes prediction results based on the model
void dispose | ( | ) |
Releases memory allocated for the native algorithm object
Implements Disposable.
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