The `xgboost.XGBRegressor.load_model` function in Python is used to load a pre-trained XGBoost regression model from a file. It allows users to directly load a previously saved model and use it for making predictions on new data without having to retrain the model. This function helps in saving time and resources by avoiding the need for retraining the model each time it needs to be used.
Python XGBRegressor.load_model - 30 examples found. These are the top rated real world Python examples of xgboost.XGBRegressor.load_model extracted from open source projects. You can rate examples to help us improve the quality of examples.