Provides methods to run implementations of the linear regression model-based prediction.
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- Parameters
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fptype | Data type to use in intermediate computations for linear regression model-based prediction in the batch processing mode, double or float |
- References
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- Aliases
Batch_Float64DefaultDense
is an alias of Batch(fptype=float64, method=daal.algorithms.linear_regression.prediction.defaultDense)
Batch_Float32DefaultDense
is an alias of Batch(fptype=float32, method=daal.algorithms.linear_regression.prediction.defaultDense)
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- Variant 1
- Default constructor
- Variant 2
Constructs a linear regression prediction algorithm by copying input objects of another linear regression prediction algorithm
- Parameters
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other | Algorithm to use as the source to initialize the input objects of the algorithm |
Returns a pointer to a newly allocated linear regression prediction algorithm with a copy of the input objects for this linear regression prediction algorithm
- 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 linear regression model-based prediction
- Returns
- Structure that contains the result of the linear regression model-based prediction
The documentation for this class was generated from the following file:
- linear_regression/prediction.py