The `xgboost.XGBRegressor.predict` method in Python is used to make predictions on new data using a trained XGBoost model. It takes the new input data as the parameter and returns the predicted values for the target variable. This method is typically used after training an XGBoost regression model to predict numeric values, such as predicting house prices or stock prices based on various features.
Python XGBRegressor.predict - 35 examples found. These are the top rated real world Python examples of xgboost.XGBRegressor.predict extracted from open source projects. You can rate examples to help us improve the quality of examples.