Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Contains classes for computing the Objective function. More...
Modules | |
| Batch | |
| Cross-entropy loss objective function | |
| Contains classes for computing the Cross-entropy loss objective function. | |
| Logistic loss objective function | |
| Contains classes for computing the Logistic loss objective function. | |
| Mean Squared Error Algorithm | |
| Contains classes for computing the Mean squared error objective function. | |
| Objective function with precomputed characteristics | |
| Contains classes for computing the Objective function with precomputed characteristics. | |
| Sum of Functions | |
| Contains classes for computing the Sum of functions. | |
Packages | |
| package | com.intel.daal.algorithms.optimization_solver.objective_function |
| Contains classes for computing objective functions. | |
Classes | |
| class | Input |
| Input objects for the Objective function algorithm More... | |
| class | InputId |
| Available identifiers of input objects for the objective function algorithm. More... | |
| class | Parameter |
| Parameters of the Objective function algorithm. More... | |
| class | Result |
| Provides methods to access the results obtained with the compute() method of the Objective funtion algorithm in the batch processing mode. More... | |
| class | ResultId |
| Available result identifiers for the objective funtion algorithm. More... | |
| class | ResultsToComputeId |
| Available computation flag identifiers for the objective funtion result. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.