Parameter of the Adagrad algorithm.
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Constructs the parameter for the Adagrad algorithm
- Parameters
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context | Context to manage the parameter for the Adagrad algorithm |
Constructs the parameter for the Adagrad algorithm
- Parameters
-
context | Context to manage the Adagrad algorithm |
cObject | Pointer to C++ implementation of the parameter |
Gets the 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.
- Returns
- The 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.
double getDegenerateCasesThreshold |
( |
| ) |
|
Retrieves the value needed to avoid degenerate cases in square root computing
- Returns
- The value needed to avoid degenerate cases in square root computing
Gets the numeric table that contains value of the learning rate
- Returns
- The numeric table that contains value of the learning rate
- Deprecated:
- This item will be removed in a future release.
Gets the seed for random generation of 32 bit integer indices of terms in the objective function.
- Returns
- The seed for random generation of 32 bit integer indices of terms in the objective function.
The 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.
- Parameters
-
batchIndices | The 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. |
void setDegenerateCasesThreshold |
( |
double |
degenerateCasesThreshold | ) |
|
Sets the value needed to avoid degenerate cases in square root computing
- Parameters
-
degenerateCasesThreshold | The value needed to avoid degenerate cases in square root computing |
Sets the engine to be used by the algorithm
- Parameters
-
engine | to be used by the algorithm |
Sets the numeric table that contains value of the learning rate
- Parameters
-
learningRate | The numeric table that contains value of the learning rate |
- Deprecated:
- This item will be removed in a future release.
Sets the seed for random generation of 32 bit integer indices of terms in the objective function.
- Parameters
-
seed | The seed for random generation of 32 bit integer indices of terms in the objective function. |
The documentation for this class was generated from the following file:
- optimization_solver/adagrad/Parameter.java