Computes the linear regression quality metric in the batch processing mode.
More...
template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::linear_regression::quality_metric::group_of_betas::interface1::Batch< algorithmFPType, method >
- Template Parameters
-
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
- DataInputId Identifiers of input objects for the metric algorithm
- ResultId Result identifiers for the metric algorithm
◆ Batch() [1/2]
Batch |
( |
size_t |
nBeta, |
|
|
size_t |
nBetaReducedModel |
|
) |
| |
|
inline |
◆ Batch() [2/2]
Batch |
( |
const Batch< algorithmFPType, method > & |
other | ) |
|
|
inline |
Constructs an algorithm by copying input objects and parameters of another algorithm
- Parameters
-
[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 algorithm with a copy of input objects and parameters of this algorithm
- Returns
- Pointer to the newly allocated algorithm
◆ getMethod()
virtual int getMethod |
( |
| ) |
const |
|
inlinevirtual |
Returns the method of the algorithm
- Returns
- Method of the algorithm
Implements AlgorithmIface.
◆ getResult()
Returns the structure that contains results of the algorithm
- Returns
- Structure that contains results of the algorithm
◆ setInput()
Registers user-allocated memory to store the input object for the algorithm
- Parameters
-
[in] | other | Structure to store the input object for the algorithm |
Implements Batch.
◆ setResult()
Registers user-allocated memory to store results of the algorithm
- Parameters
-
[in] | result | Structure to store results of the algorithm |
- Returns
- Status of computations
◆ input
Input objects of the algorithm
◆ parameter
Parameters of the algorithm
The documentation for this class was generated from the following file: