C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
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 |
| services::Status check | ( | ) | const |
Checks a parameter of the KD-tree based kNN algorithm
| 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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