Provides methods for ridge regression model-based training in the batch processing mode.
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- Parameters
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fptype | Data type to use in intermediate computations for ridge regression model-based training, double or float |
method | Ridge regression training method, Method |
- Enumerations
- Method Computation methods
- References
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- Aliases
Batch_Float64NormEqDense
is an alias of Batch(fptype=float64, method=daal.algorithms.ridge_regression.training.normEqDense)
Batch_Float32NormEqDense
is an alias of Batch(fptype=float32, method=daal.algorithms.ridge_regression.training.normEqDense)
def __init__ |
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- Variant 1
- Default constructor
- Variant 2
Constructs a ridge regression training algorithm by copying input objects and parameters of another ridge regression training algorithm in the batch processing mode
- Parameters
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other | Algorithm to use as the source to initialize the input objects and parameters of the algorithm |
Returns a pointer to a newly allocated ridge regression training algorithm with a copy of the input objects and parameters for this ridge regression training algorithm in the batch processing mode
- Returns
- Pointer to the newly allocated algorithm
getInput(Batch self) -> Input
Returns the method of the algorithm
- Returns
- Method of the algorithm
Returns the structure that contains the result of ridge regression model-based training
- Returns
- Structure that contains the result of ridge regression model-based training
resetResult(Batch self) -> Status
The documentation for this class was generated from the following file:
- ridge_regression/training.py