C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Contains classes for optimization solver algorithms. More...
Contains classes for the Objective function.
Contains classes for computing the Mean squared error objective function.
Contains classes for computing the Logistic loss objective function.
Contains classes for computing the Cross-entropy loss objective function.
References | |
Adaptive Gradient Descent Algorithm | |
Contains classes for computing the Adaptive gradient descent. | |
Iterative Solver | |
Contains classes for computing the iterative solver. | |
Limited-Memory-Broyden-Fletcher-Goldfarb-Shanno Algorithm | |
Contains classes for computing the limited memory Broyden-Fletcher-Goldfarb-Shanno algorithm. | |
Objective Function | |
Stochastic Gradient Descent Algorithm | |
Contains classes for computing the Stochastic gradient descent. | |
Stochastic average Gradient Descent Algorithm | |
Contains classes for computing the Coordinate descent. | |
Classes | |
class | BatchIface |
Interface for computing the Optimization solver in the batch processing mode. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.