The `sklearn.ensemble.AdaBoostRegressor.predict` function is a method in the scikit-learn Python library's ensemble module. It is used for making predictions using a trained AdaBoost regressor model. AdaBoost is an ensemble learning method that combines multiple weak models (decision trees in the case of AdaBoostRegressor) to create a more accurate and robust model. The `predict` function takes a set of input features and returns the predicted output values based on the trained AdaBoost regressor model. This function helps in utilizing the trained model to generate predictions for unseen data.
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