Provides methods to run implementations of the linear regression model-based prediction.
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template<typename algorithmFPType>
class daal::algorithms::linear_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >
- Template Parameters
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algorithmFPType | Data type to use in intermediate computations for linear regression model-based prediction in the batch processing mode, double or float |
- References
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◆ Batch() [1/2]
◆ Batch() [2/2]
Batch |
( |
const Batch< algorithmFPType, defaultDense > & |
other | ) |
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inline |
Constructs a linear regression prediction algorithm by copying input objects of another linear regression prediction algorithm
- Parameters
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[in] | other | Algorithm to use as the source to initialize the input objects of the algorithm |
◆ clone()
Returns a pointer to a newly allocated linear regression prediction algorithm with a copy of the input objects for this linear regression prediction algorithm
- Returns
- Pointer to the newly allocated algorithm
◆ getMethod()
virtual int getMethod |
( |
| ) |
const |
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inlinevirtual |
◆ getResult()
Returns the structure that contains the result of linear regression model-based prediction
- Returns
- Structure that contains the result of the linear regression model-based prediction
◆ input
The documentation for this class was generated from the following file: