C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Contains classes for computing the Stochastic gradient descent. More...
References | |
| Batch | |
Namespaces | |
| daal::algorithms::optimization_solver::sgd | |
| Contains classes for computing the Stochastic gradient descent. | |
| daal::algorithms::optimization_solver::sgd::interface1 | |
| Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface. | |
| daal::algorithms::optimization_solver::sgd::interface2 | |
| Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface. | |
Classes | |
| struct | BaseParameter |
| BaseParameter base class for the Stochastic gradient descent algorithm More... | |
| struct | Parameter< method > |
| struct | Parameter< defaultDense > |
| Parameter for the Stochastic gradient descent algorithm More... | |
| struct | Parameter< miniBatch > |
| Parameter for the Stochastic gradient descent algorithm More... | |
| struct | Parameter< momentum > |
| Parameter for the Stochastic gradient descent algorithm More... | |
| class | Input |
| Input for the Stochastic gradient descent algorithm More... | |
| class | Result |
| Results obtained with the compute() method of the sgd algorithm in the batch processing mode. More... | |
Enumerations | |
| enum | Method { defaultDense = 0, miniBatch = 1, momentum = 2 } |
| enum | OptionalDataId { pastUpdateVector = iterative_solver::lastOptionalData + 1, pastWorkValue = pastUpdateVector + 1 } |
| enum Method |
Available methods for computing the Stochastic gradient descent
| enum OptionalDataId |
Available identifiers of optional input for the iterative solver
For more complete information about compiler optimizations, see our Optimization Notice.