C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

List of all members
Online< algorithmFPType, method > Class Template Reference

Provides methods for ridge regression model-based training in the online processing mode. More...

Class Declaration

template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = normEqDense>
class daal::algorithms::ridge_regression::training::interface1::Online< algorithmFPType, method >

Template Parameters
algorithmFPTypeData type to use in intermediate computations for ridge regression model-based training , double or float
methodRidge regression training method, Method
Enumerations
References

Constructor & Destructor Documentation

Online ( )
inline

Default constructor

Online ( const Online< algorithmFPType, method > &  other)
inline

Constructs a ridge regression training algorithm by copying input objects and parameters of another ridge regression training algorithm in the online processing mode

Parameters
[in]otherAlgorithm to use as the source to initialize the input objects and parameters of the algorithm

Member Function Documentation

services::SharedPtr<Online<algorithmFPType, method> > clone ( ) const
inline

Returns a pointer to a newly allocated ridge regression training algorithm with a copy of the input objects and parameters of this ridge regression training algorithm in the online processing mode

Returns
Pointer to the newly allocated algorithm
virtual int getMethod ( ) const
inlinevirtual

Returns the method of the algorithm

Returns
Method of the algorithm
PartialResultPtr getPartialResult ( )
inline

Returns the structure that contains a partial result of ridge regression model-based training

Returns
Structure that contains a partial result of ridge regression model-based training
ResultPtr getResult ( )
inline

Returns the structure that contains the result of ridge regression model-based training

Returns
Structure that contains the result of ridge regression model-based training

Member Data Documentation

InputType input

Input data structure

ParameterType parameter

Training parameters


The documentation for this class was generated from the following file:

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