Dummy Regressor#
A regressor that makes predictions based on a user-defined guessing strategy using only the information found within the labels of a training set. Dummy Regressor is useful to provide a sanity check and to compare performance against actual Regressors.
Interfaces: Estimator, Learner, Persistable
Data Type Compatibility: Categorical, Continuous, Resource
Parameters#
# | Name | Default | Type | Description |
---|---|---|---|---|
1 | strategy | Mean | Strategy | The guessing strategy to employ when making predictions. |
Example#
use Rubix\ML\Regressors\DummyRegressor;
use Rubix\ML\Strategies\Percentile;
$estimator = new DummyRegressor(new Percentile(56.5));
Additional Methods#
This estimator does not have any additional methods.
Last update:
2021-03-27