C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1
References | |
Batch | |
Mean Squared Error Algorithm | |
Contains classes for computing the Mean squared error objective function. | |
Objective function with precomputed characteristics | |
Contains classes for the Objective function with precomputed characteristics. | |
Sum of Functions | |
Contains classes for computing the Sum of functions. | |
Namespaces | |
daal::algorithms::optimization_solver::objective_function | |
Contains classes for computing the Objective function. | |
daal::algorithms::optimization_solver::objective_function::interface1 | |
Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface. | |
Classes | |
struct | Parameter |
Parameter for the Objective function More... | |
class | Input |
Input objects for the Objective function More... | |
class | Result |
Provides methods to access final results obtained with the compute() method of the Objective function in the batch processing mode. More... | |
Enumerations | |
enum | InputId { argument } |
enum | ResultToComputeId { gradient = 0x00000001ULL, value = 0x00000002ULL, hessian = 0x00000004ULL } |
enum | ResultId { gradientIdx, valueIdx, hessianIdx } |
enum InputId |
enum ResultId |
enum ResultToComputeId |
Available identifiers to specify the Objective function result
For more complete information about compiler optimizations, see our Optimization Notice.