Trains model of the AdaBoost algorithms in batch mode.
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template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::adaboost::training::interface2::Batch< algorithmFPType, method >
- Template Parameters
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- Enumerations
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- References
- Model class
- classifier::training::Input class
Batch |
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const Batch< algorithmFPType, method > & |
other | ) |
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Constructs an AdaBoost training algorithm by copying input objects and parameters of another AdaBoost training algorithm
- Parameters
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[in] | other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
services::SharedPtr<Batch<algorithmFPType, method> > clone |
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Returns a pointer to the newly allocated AdaBoost training algorithm with a copy of input objects and parameters of this AdaBoost training algorithm
- Returns
- Pointer to the newly allocated algorithm
Get input objects for the AdaBoost training algorithm
- Returns
- Input objects for the AdaBoost training algorithm
virtual int getMethod |
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Returns method of the algorithm
- Returns
- Method of the algorithm
Returns the structure that contains results of AdaBoost training
- Returns
- Structure that contains results of AdaBoost training
ParameterType& parameter |
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Gets parameter of the algorithm
- Returns
- parameter of the algorithm
const ParameterType& parameter |
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const |
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inline |
Gets parameter of the algorithm
- Returns
- parameter of the algorithm
services::Status resetResult |
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Resets the training results of the classification algorithm
The documentation for this class was generated from the following file: