C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Contains classes for optimization solver algorithms. More...
Namespaces | |
adagrad | |
Contains classes for computing the Adaptive gradient descent. | |
coordinate_descent | |
Contains classes for computing the Coordinate descent. | |
cross_entropy_loss | |
Contains classes for computing the Cross-entropy loss objective function. | |
interface1 | |
Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface. | |
iterative_solver | |
Contains classes for computing the iterative solver. | |
lbfgs | |
Contains classes for computing the limited memory Broyden-Fletcher-Goldfarb-Shanno algorithm. | |
logistic_loss | |
Contains classes for computing the Logistic loss objective function. | |
mse | |
Contains classes for computing the Mean squared error objective function. | |
objective_function | |
Contains classes for computing the Objective function. | |
precomputed | |
Contains classes for the Objective function with precomputed characteristics. | |
saga | |
Contains classes for computing the Stochastic average gradient descent. | |
sgd | |
Contains classes for computing the Stochastic gradient descent. | |
sum_of_functions | |
Contains classes for computing the Sum of functions. | |
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.
For more complete information about compiler optimizations, see our Optimization Notice.