Predicts gradient boosted trees classification results.
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template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::gbt::classification::prediction::interface1::Batch< algorithmFPType, method >
- Template Parameters
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algorithmFPType | Data type to use in intermediate computations for the gbt algortithm, double or float |
method | gradient boosted trees computation method, Method |
- Enumerations
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- References
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◆ Batch() [1/2]
Constructs gradient boosted trees prediction algorithm
- Parameters
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[in] | nClasses | Number of classes |
◆ Batch() [2/2]
Batch |
( |
const Batch< algorithmFPType, method > & |
other | ) |
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inline |
Constructs a gradient boosted trees prediction algorithm by copying input objects and parameters of another gradient boosted trees prediction 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 |
◆ ~Batch()
Destructor
Reimplemented from Batch.
◆ clone()
Returns a pointer to the newly allocated gradient boosted trees prediction algorithm with a copy of input objects and parameters of this gradient boosted trees prediction algorithm
- Returns
- Pointer to the newly allocated algorithm
◆ getInput()
Gets input objects for the gradient boosted trees prediction algorithm
- Returns
- Input objects for the Gradient Boosted Trees prediction algorithm
Implements Batch.
◆ getMethod()
virtual int getMethod |
( |
| ) |
const |
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inlinevirtual |
Returns method of the algorithm
- Returns
- Method of the algorithm
Implements AlgorithmIface.
◆ parameter() [1/2]
Gets parameter of the algorithm
- Returns
- parameter of the algorithm
◆ parameter() [2/2]
Gets parameter of the algorithm
- Returns
- parameter of the algorithm
◆ input
Input objects of the algorithm
The documentation for this class was generated from the following file: