C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Contains a class for model-based training. More...
References | |
| Batch | |
Namespaces | |
| daal::algorithms::gbt::regression::training | |
| Contains a class for model-based training. | |
| daal::algorithms::gbt::regression::training::interface1 | |
| Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface. | |
Classes | |
| class | Parameter |
| Parameters for the gradient boosted trees algorithm. More... | |
| class | Input |
| Input objects for model-based training More... | |
| class | Result |
| Provides methods to access the result obtained with the compute() method of model-based training. More... | |
Enumerations | |
| enum | Method { xboost = 0, defaultDense = 0 } |
| Computation methods for gradient boosted trees classification model-based training. More... | |
| enum | LossFunctionType |
| Loss function type. More... | |
| enum | InputId { data = algorithms::regression::training::data, dependentVariable = algorithms::regression::training::dependentVariables } |
| Available identifiers of input objects for model-based training. More... | |
| enum | ResultId { model = algorithms::regression::training::model } |
| Available identifiers of the result of model-based training. More... | |
| enum InputId |
| enum Method |
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