C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2
KD-tree based kNN algorithm parameters. More...
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inline |
Parameter constructor
[in] | nClasses | Number of classes |
[in] | nNeighbors | Number of neighbors |
[in] | randomSeed | Seed for random choosing elements from training dataset |
[in] | dataUse | The option to enable/disable an usage of the input dataset in kNN model |
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virtual |
Checks a parameter of the KD-tree based kNN algorithm
Reimplemented from Parameter.
DataUseInModel dataUseInModel |
The option to enable/disable an usage of the input dataset in kNN model
engines::EnginePtr engine |
Engine for random choosing elements from training dataset
size_t k |
Number of neighbors
int seed |
Seed for random choosing elements from training dataset
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