BaseEnsemble
¶
-
class
ibex.sklearn.ensemble.
BaseEnsemble
(base_estimator, n_estimators=10, estimator_params=())¶ Bases:
sklearn.ensemble.base.BaseEnsemble
,ibex._base.FrameMixin
Note
The documentation following is of the class wrapped by this class. There are some changes, in particular:
- A parameter
X
denotes apandas.DataFrame
. - A parameter
y
denotes apandas.Series
.
Base class for all ensemble classes.
Warning: This class should not be used directly. Use derived classes instead.
- base_estimator : object, optional (default=None)
- The base estimator from which the ensemble is built.
- n_estimators : integer
- The number of estimators in the ensemble.
- estimator_params : list of strings
- The list of attributes to use as parameters when instantiating a new base estimator. If none are given, default parameters are used.
- base_estimator_ : estimator
- The base estimator from which the ensemble is grown.
- estimators_ : list of estimators
- The collection of fitted base estimators.
- A parameter