Provides methods for neural network model-based prediction in the batch processing mode.
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template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::neural_networks::prediction::interface1::Batch< algorithmFPType, method >
- Template Parameters
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algorithmFPType | Data type to use in intermediate computations for neural network model-based prediction, double or float |
method | Neural network prediction method, prediction::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 neural network by copying input objects and parameters of another neural network
- 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 neural network with a copy of input objects and parameters of this neural network
- Returns
- Pointer to the newly allocated layer
◆ getMethod()
virtual int getMethod |
( |
| ) |
const |
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inlinevirtual |
Returns method of the algorithm
- Returns
- Method of the algorithm
Implements AlgorithmIface.
◆ getResult()
Returns the structure that contains the results of the neural network algorithm
- Returns
- Structure that contains the results of the neural network algorithm
◆ setResult()
Register user-allocated memory to store the results of the neural network algorithm
- Parameters
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[in] | res | Structure to store the results of the neural network algorithm |
- Returns
- Status of computations
◆ input
◆ parameter
The documentation for this class was generated from the following file: