BaseParameter base class for the Stochastic gradient descent algorithm
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Constructs the parameter base class of the Stochastic gradient descent algorithm
- Parameters
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function | Objective function represented as sum of functions |
nIterations | Maximal number of iterations of the algorithm |
accuracyThreshold | Accuracy of the algorithm. The algorithm terminates when this accuracy is achieved |
batchIndices | Numeric table that represents 32 bit integer indices of terms in the objective function. If no indices are provided, the implementation will generate random indices. |
learningRateSequence | Numeric table that contains values of the learning rate sequence |
batchSize | Batch size |
seed | Seed for random generation of 32 bit integer indices of terms in the objective function. |
- Deprecated:
- This item will be removed in a future release. Use engine instead.
Checks the correctness of the parameter
- Returns
- Status of computations
Numeric table that represents 32 bit integer indices of terms
learningRateSequence = ... |
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Numeric table that contains values of the learning rate sequence
Seed for random generation of 32 bit integer indices of terms
The documentation for this class was generated from the following file: