Provides methods for linear regression model-based training in the online processing mode.
More...
- Parameters
-
fptype | Data type to use in intermediate computations for linear regression model-based training , double or float |
method | Linear regression training method, Method |
- Enumerations
- Method Computation methods
- References
-
- Aliases
Online_Float64QrDense
is an alias of Online(fptype=float64, method=daal.algorithms.linear_regression.training.qrDense)
Online_Float64NormEqDense
is an alias of Online(fptype=float64, method=daal.algorithms.linear_regression.training.normEqDense)
Online_Float32QrDense
is an alias of Online(fptype=float32, method=daal.algorithms.linear_regression.training.qrDense)
Online_Float32NormEqDense
is an alias of Online(fptype=float32, method=daal.algorithms.linear_regression.training.normEqDense)
def __init__ |
( |
|
self, |
|
|
|
args |
|
) |
| |
- Variant 1
- Default constructor
- Variant 2
Constructs a linear regression training algorithm by copying input objects and parameters of another linear regression training algorithm in the online processing mode
- Parameters
-
other | Algorithm to use as the source to initialize the input objects and parameters of the algorithm |
Returns a pointer to a newly allocated linear regression training algorithm with a copy of the input objects and parameters of this linear regression training algorithm in the online processing mode
- Returns
- Pointer to the newly allocated algorithm
Invokes computations and returns partial result
def finalizeCompute |
( |
|
self | ) |
|
Finalizes computations and returns (final) result
getInput(Online self) -> Input
Returns the method of the algorithm
- Returns
- Method of the algorithm
def getPartialResult |
( |
|
self | ) |
|
Returns the structure that contains a partial result of linear regression model-based training
- Returns
- Structure that contains a partial result of linear regression model-based training
Returns the structure that contains the result of linear regression model-based training
- Returns
- Structure that contains the result of linear regression model-based training
The documentation for this class was generated from the following file:
- linear_regression/training.py