Computes the linear regression quality metric in the batch processing mode.
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template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::pca::quality_metric::explained_variance::interface1::Batch< algorithmFPType, method >
- Template Parameters
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algorithmFPType | Data type to use in intermediate computations of metric, double or float |
method | Computation method for the metric, Method |
- Enumerations
- Method Computation method for the metric
- InputId Identifiers of input objects for the metric algorithm
- ResultId Result identifiers for the metric algorithm
Batch |
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size_t |
nFeatures = 0 , |
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size_t |
nComponents = 0 |
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inline |
Batch |
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const Batch< algorithmFPType, method > & |
other | ) |
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inline |
Constructs an algorithm by copying input objects and parameters of another 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::SharedPtr<Batch<algorithmFPType, method> > clone |
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const |
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inline |
Returns a pointer to the newly allocated algorithm with a copy of input objects and parameters of this 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
ResultPtr getResult |
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const |
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inline |
Returns the structure that contains results of the algorithm
- Returns
- Structure that contains results of the algorithm
virtual void setInput |
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const algorithms::Input * |
other | ) |
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inlinevirtual |
Registers user-allocated memory to store the input object for the algorithm
- Parameters
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[in] | other | Structure to store the input object for the algorithm |
services::Status setResult |
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const ResultPtr & |
result | ) |
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inline |
Registers user-allocated memory to store results of the algorithm
- Parameters
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[in] | result | Structure to store results of the algorithm |
- Returns
- Status of computations
Input objects of the algorithm
Parameters of the algorithm
The documentation for this class was generated from the following file: