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

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BatchContainer< algorithmFPType, method, cpu > Class Template Reference

Provides methods to run implementations of the adaptive gradient descent algorithm. This class is associated with daal::algorithms::optimization_solver::adagrad::BatchContainer class. More...

Class Declaration

template<typename algorithmFPType, Method method, CpuType cpu>
class daal::algorithms::optimization_solver::adagrad::interface2::BatchContainer< algorithmFPType, method, cpu >

Template Parameters
algorithmFPTypeData type to use in intermediate computations for the Adaptive gradient descent algorithm, double or float
methodAdaptive gradient descent computation method, daal::algorithms::optimization_solver::adagrad::Method

Constructor & Destructor Documentation

BatchContainer ( daal::services::Environment::env *  daalEnv)

Constructs a container for the Adagrad algorithm with a specified environment in the batch processing mode

Parameters
[in]daalEnvEnvironment object

Default destructor

Member Function Documentation

virtual services::Status compute ( )
virtual

Computes the result of the Adagrad algorithm in the batch processing mode

Returns
Status of computations

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

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