C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Provides methods to run implementations of the adaptive gradient descent algorithm. This class is associated with daal::algorithms::optimization_solver::adagrad::BatchContainer class. More...
algorithmFPType | Data type to use in intermediate computations for the Adaptive gradient descent algorithm, double or float |
method | Adaptive gradient descent computation method, daal::algorithms::optimization_solver::adagrad::Method |
BatchContainer | ( | daal::services::Environment::env * | daalEnv | ) |
Constructs a container for the Adagrad algorithm with a specified environment in the batch processing mode
[in] | daalEnv | Environment object |
~BatchContainer | ( | ) |
Default destructor
|
virtual |
Computes the result of the Adagrad algorithm in the batch processing mode
For more complete information about compiler optimizations, see our Optimization Notice.