Computes the objective function with precomputed characteristics in the batch processing mode.
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template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::optimization_solver::precomputed::interface1::Batch< algorithmFPType, method >
- Template Parameters
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algorithmFPType | Data type to use in intermediate computations for the objective function with precomputed characteristics, double or float |
method | The objective function with precomputed characteristics method |
- Enumerations
- ResultId Result identifiers for the precomputed objective function
- References
- \ref objective_function::interface1::Result "objective_function::Result" class
◆ Batch() [1/2]
◆ ~Batch()
Destructor
Reimplemented from Batch.
◆ Batch() [2/2]
Batch |
( |
const Batch< algorithmFPType, method > & |
other | ) |
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inline |
Constructs the objective function with precomputed characteristics algorithm by copying input objects and parameters of another objective function with precomputed characteristics 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 |
◆ allocate()
Allocates memory buffers needed for the computations
- Returns
- Status of computations
◆ clone()
Returns a pointer to the newly allocated objective function with precomputed characteristics algorithm with a copy of input objects of this objective function with precomputed characteristics algorithm
- Returns
- Pointer to the newly allocated algorithm
◆ getMethod()
virtual int getMethod |
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const |
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inlinevirtual |
Returns the method of the algorithm
- Returns
- Method of the algorithm
Implements AlgorithmIface.
◆ input
Input data structure
- Note
- The algorithm does not use the provided input objects
◆ parameter
Parameter data structure
- Note
- The algorithm does not use the provided parameters
The documentation for this class was generated from the following file: