Performs linear regression model-based training in the the first step of the distributed processing mode.
More...
template<typename algorithmFPType, Method method>
class daal::algorithms::linear_regression::training::interface1::Distributed< step1Local, algorithmFPType, method >
- Template Parameters
-
algorithmFPType | Data type to use in intermediate computations for linear regression model-based training, double or float |
method | Linear regression training method, Method |
- Enumerations
-
- References
-
Constructs a linear regression training algorithm in the first step of the distributed processing mode by copying input objects and parameters of another linear regression training algorithm
- Parameters
-
[in] | other | Algorithm to use as the source to initialize the input objects and parameters of the algorithm |
Returns a pointer to a newly allocated linear regression training algorithm with a copy of the input objects and parameters of this linear regression training algorithm in the first step of the distributed processing mode
- Returns
- Pointer to the newly allocated algorithm
The documentation for this class was generated from the following file: