C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
AdaBoost algorithm parameters. More...
| Parameter | ( | ) |
Default constructor
| Parameter | ( | services::SharedPtr< weak_learner::training::Batch > | wlTrainForParameter, |
| services::SharedPtr< weak_learner::prediction::Batch > | wlPredictForParameter, | ||
| double | acc = 0.0, |
||
| size_t | maxIter = 10 |
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| ) |
Constructs the AdaBoost parameter structure
| [in] | wlTrainForParameter | Pointer to the training algorithm of the weak learner |
| [in] | wlPredictForParameter | Pointer to the prediction algorithm of the weak learner |
| [in] | acc | Accuracy of the AdaBoost training algorithm |
| [in] | maxIter | Maximal number of iterations of the AdaBoost training algorithm |
| double accuracyThreshold |
Accuracy of the AdaBoost training algorithm
| size_t maxIterations |
Maximal number of iterations of the AdaBoost training algorithm
For more complete information about compiler optimizations, see our Optimization Notice.