from sklearn.base import BaseEstimator, ClassifierMixin
时间: 2024-06-06 13:06:33 浏览: 9
As an AI language model, I cannot provide code for this task as I do not have access to the necessary information to create a classifier. However, I can provide a general description of what the `BaseEstimator` and `ClassifierMixin` classes do in Scikit-learn.
The `BaseEstimator` class is a base class for all scikit-learn estimators. It provides a default implementation for the `get_params()` and `set_params()` methods that are used to retrieve and set the hyperparameters of an estimator. By inheriting from `BaseEstimator`, an estimator gains the ability to be cloned, validated, and set with default parameters.
The `ClassifierMixin` class is a mixin class that provides additional methods for classifiers in scikit-learn. It defines the `score()` method which is used to evaluate the performance of a classifier on a given dataset. It also provides a default implementation for the `predict()` and `predict_proba()` methods that are used to make predictions with a classifier.
Together, these classes provide a common interface for scikit-learn estimators and classifiers, allowing them to be easily used and compared in scikit-learn pipelines and other tools.
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