Provides methods to run implementations of the decision forest model-based prediction.
More...
- Parameters
-
fptype | Data type to use in intermediate computations for decision forest model-based prediction in the batch processing mode, double or float |
method | Computation method in the batch processing mode, Method |
- Enumerations
- Method Computation methods for decision forest model-based prediction
- References
-
- Aliases
Batch_Float64DefaultDense
is an alias of Batch(fptype=float64, method=daal.algorithms.decision_forest.regression.prediction.defaultDense)
Batch_Float32DefaultDense
is an alias of Batch(fptype=float32, method=daal.algorithms.decision_forest.regression.prediction.defaultDense)
def __init__ |
( |
|
self, |
|
|
|
args |
|
) |
| |
- Variant 1
- Default constructor
- Variant 2
Constructs a decision forest prediction algorithm by copying input objects and parameters of another decision forest prediction algorithm
- 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 decision forest prediction algorithm with a copy of the input objects for this decision forest 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 decision forest model-based prediction
- Returns
- Structure that contains the result of the decision forest model-based prediction
The documentation for this class was generated from the following file:
- decision_forest/regression/prediction.py