Algorithm class to train the SVM model
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template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = boser>
class daal::algorithms::svm::training::interface1::Batch< algorithmFPType, method >
- Template Parameters
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algorithmFPType | Data type to use in intermediate computations for the SVM training algorithm, double or float |
method | SVM training method, Method |
- Enumerations
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- References
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◆ Batch() [1/2]
◆ Batch() [2/2]
Batch |
( |
const Batch< algorithmFPType, method > & |
other | ) |
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inline |
Constructs an SVM training algorithm by copying input objects and parameters of another SVM 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 |
◆ clone()
Returns a pointer to the newly allocated SVM training algorithm with a copy of input objects and parameters of this SVM training algorithm
- Returns
- Pointer to the newly allocated algorithm
◆ getInput()
Get input objects for the SVM training algorithm
- Returns
- Input objects for the SVM training 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.
◆ getResult()
Returns structure that contains computed results of the SVM training algorithm
- Returns
- Structure that contains computed results of the SVM training algorithm
◆ resetResult()
Resets the training results of the classification algorithm
Implements Batch.
◆ input
Input objects of the algorithm
◆ parameter
The documentation for this class was generated from the following file: