Provides methods to run implementations of the lasso regression model-based prediction.
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template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::lasso_regression::prediction::interface1::Batch< algorithmFPType, method >
- Template Parameters
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algorithmFPType | Data type to use in intermediate computations for lasso regression model-based prediction in the batch processing mode, double or float |
- References
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Batch |
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const Batch< algorithmFPType, defaultDense > & |
other | ) |
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inline |
Constructs a lasso regression prediction algorithm by copying input objects of another lasso regression prediction algorithm
- Parameters
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[in] | other | Algorithm to use as the source to initialize the input objects of the algorithm |
services::SharedPtr<Batch<algorithmFPType, defaultDense> > clone |
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const |
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inline |
Returns a pointer to a newly allocated lasso regression prediction algorithm with a copy of the input objects for this lasso regression prediction 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
Returns the structure that contains the result of lasso regression model-based prediction
- Returns
- Structure that contains the result of the lasso regression model-based prediction
The documentation for this class was generated from the following file: