Computes the Mean squared error objective function in the batch processing mode.
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template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::optimization_solver::mse::interface2::Batch< algorithmFPType, method >
- Template Parameters
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algorithmFPType | Data type to use in intermediate computations for the Mean squared error objective function, double or float |
method | The Mean squared error objective function computation method |
- Enumerations
- Method Computation methods for the Mean squared error objective function
- InputId Identifiers of input objects for the Mean squared error objective function
- objective_function::ResultId Result identifiers for the Mean squared error objective function
- References
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Batch |
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size_t |
numberOfTerms | ) |
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Batch |
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const Batch< algorithmFPType, method > & |
other | ) |
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Constructs an the Mean squared error objective function algorithm by copying input objects and parameters of another the Mean squared error objective function 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::Status allocate |
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inline |
Allocates memory buffers needed for the computations
- Returns
- Status of computations
services::SharedPtr<Batch<algorithmFPType, method> > clone |
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const |
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inline |
Returns a pointer to the newly allocated the Mean squared error objective function algorithm with a copy of input objects of this the Mean squared error objective function algorithm
- Returns
- Pointer to the newly allocated algorithm
virtual int getMethod |
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const |
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inlinevirtual |
Returns the method of the algorithm
- Returns
- Method of the algorithm
ParameterType& parameter |
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inline |
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
The documentation for this class was generated from the following file: