C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Parameter base class for the Coordinate descent algorithm More...
Parameter | ( | const sum_of_functions::BatchPtr & | function, |
size_t | nIterations = 100 , |
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double | accuracyThreshold = 1.0e-05 , |
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size_t | seed = 777 |
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Constructs the parameter base class of the Coordinate descent algorithm
[in] | function | Objective function represented as sum of functions |
[in] | nIterations | Maximal number of iterations of the algorithm |
[in] | accuracyThreshold | Accuracy of the algorithm. The algorithm terminates when this accuracy is achieved If no indices are provided, the implementation will generate random indices. |
[in] | seed | Seed for random generation of 32 bit integer indices of terms in the objective function. |
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virtual |
Checks the correctness of the parameter
engines::EnginePtr engine |
Engine for random generation of 32 bit integer indices of terms in the objective function.
size_t seed |
Seed for random generation of 32 bit integer indices of terms in the objective function.
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