Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Modules | |
| Adaboost Classifier | |
| Contains classes for the AdaBoost classification algorithm. | |
| Brownboost Classifier | |
| Contains classes for the BrownBoost classification algorithm. | |
| Logitboost Classifier | |
| Contains classes for the LogitBoost classification algorithm. | |
| Prediction | |
| Contains classes for prediction based on boosting models. | |
| Training | |
| Contains classes for training boosting models. | |
| Weak Learner | |
| Contains classes for working with weak learners. | |
Packages | |
| package | com.intel.daal.algorithms.boosting |
| Contains base classes for working with boosting classifiers. | |
Classes | |
| class | Model |
| Base class for models of boosting algorithms. Contains a collection of weak learner algorithm models constructed during training of the boosting algorithm. More... | |
| class | Parameter |
| Base class for the parameters of the boosting algorithm. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.