Java* API Reference for Intel® Data Analytics Acceleration Library 2019
Contains classes for computing Stochastic gradient descent algorithm.
Classes | |
| class | BaseParameter |
| Base parameter of the Sum of functions algorithm. More... | |
| class | Batch |
| Base interface for the SGD algorithm in the batch processing mode More... | |
| class | InternalOptionalDataId |
| Available identifiers of InternalOptionalDataId objects for the algorithm. More... | |
| class | Method |
| Available methods for computing the SGD algorithm. More... | |
| class | OptionalDataId |
| Available identifiers of OptionalData objects for the algorithm. More... | |
| class | ParameterDefaultDense |
| ParameterDefaultDense of the SGD algorithm. More... | |
| class | ParameterMiniBatch |
| ParameterMiniBatch of the SGD algorithm. More... | |
| class | ParameterMomentum |
| ParameterMomentum of the SGD algorithm. More... | |
| class | Result |
| Provides methods to access the results obtained with the compute() method of the SGD algorithm in the batch processing mode. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.