RegressorStacking Class
Description Computes the output by training a model on a training set where each instance is a vector containing the outputs of the different models on a training instance, and the instance's label
- Inheritance
-
nimbusml.internal.core.ensemble.output_combiner._regressorstacking.RegressorStackingRegressorStacking
Constructor
RegressorStacking(validation_dataset_proportion=0.3, **params)Parameters
| Name | Description |
|---|---|
|
validation_dataset_proportion
|
The proportion of instances to be selected to test the individual base learner. If it is 0, it uses training set. |
|
params
|
Additional arguments sent to compute engine. |
Methods
| get_params |
Get the parameters for this operator. |
get_params
Get the parameters for this operator.
get_params(deep=False)Parameters
| Name | Description |
|---|---|
|
deep
|
Default value: False
|