Computes the linear regression quality metric in the batch processing mode.
More...
- Parameters
-
fptype | Data type to use in intermediate computations of metric, double or float |
method | Computation method for the metric, Method |
- Enumerations
- Method Computation method for the metric
- DataInputId Identifiers of input objects for the metric algorithm
- ResultId Result identifiers for the metric algorithm
- Aliases
Batch_Float64DefaultDense
is an alias of Batch(fptype=float64, method=daal.algorithms.linear_regression.quality_metric.single_beta.defaultDense)
Batch_Float32DefaultDense
is an alias of Batch(fptype=float32, method=daal.algorithms.linear_regression.quality_metric.single_beta.defaultDense)
def __init__ |
( |
|
self, |
|
|
|
args |
|
) |
| |
- Variant 1
- Default constructor
- Variant 2
Constructs an algorithm by copying input objects and parameters of another algorithm
- Parameters
-
other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
Returns a pointer to the newly allocated algorithm with a copy of input objects and parameters of this algorithm
- Returns
- Pointer to the newly allocated algorithm
Returns the method of the algorithm
- Returns
- Method of the algorithm
Returns the structure that contains results of the algorithm
- Returns
- Structure that contains results of the algorithm
def setInput |
( |
|
self, |
|
|
|
other |
|
) |
| |
Registers user-allocated memory to store the input object for the algorithm
- Parameters
-
other | Structure to store the input object for the algorithm |
def setResult |
( |
|
self, |
|
|
|
result |
|
) |
| |
Registers user-allocated memory to store results of the algorithm
- Parameters
-
result | Structure to store results of the algorithm |
- Returns
- Status of computations
Input objects of the algorithm
Parameters of the algorithm
The documentation for this class was generated from the following file: