MetaEstimatorMixin#

class sklearn.base.MetaEstimatorMixin#

Mixin类用于scikit-learn中的所有元估计器。

这个mixin定义了以下功能：

定义 _required_parameters ，指定强制性的 estimator 参数。

Examples

>>> from sklearn.base import MetaEstimatorMixin
>>> from sklearn.datasets import load_iris
>>> from sklearn.linear_model import LogisticRegression
>>> class MyEstimator(MetaEstimatorMixin):
...     def __init__(self, *, estimator=None):
...         self.estimator = estimator
...     def fit(self, X, y=None):
...         if self.estimator is None:
...             self.estimator_ = LogisticRegression()
...         else:
...             self.estimator_ = self.estimator
...         return self
>>> X, y = load_iris(return_X_y=True)
>>> estimator = MyEstimator().fit(X, y)
>>> estimator.estimator_
LogisticRegression()

Gallery examples#

元数据路由