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

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Batch< algorithmFPType, method > Class Template Reference

Provides methods for linear regression model-based training in the batch processing mode. More...

Class Declaration

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

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

Constructor & Destructor Documentation

Batch ( )
inline

Default constructor

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

Constructs a linear regression training algorithm by copying input objects and parameters of another linear regression training algorithm in the batch 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<Batch<algorithmFPType, method> > clone ( ) const
inline

Returns a pointer to a newly allocated linear regression training algorithm with a copy of the input objects and parameters for this linear regression training algorithm in the batch 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
ResultPtr getResult ( )
inline

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

Returns
Structure that contains the result of linear regression model-based training
services::Status resetResult ( )
inline

Resets the results of linear 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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