plot: bool, optional (default=False). If True, draw train and eval error in Jupyter notebook verbose_eval: bool or int. Synonym for verbose. Only one of these parameters should be set. early_stopping_rounds: int. Activates Iter overfitting detector with od_wait set to early_stopping_rounds...
plot: bool, optional (default=False). If True, draw train and eval error in Jupyter notebook verbose_eval: bool or int. Synonym for verbose. Only one of these parameters should be set. early_stopping_rounds: int. Activates Iter overfitting detector with od_wait set to early_stopping_rounds...
plot: bool, optional (default=False). If True, draw train and eval error in Jupyter notebook verbose_eval: bool or int. Synonym for verbose. Only one of these parameters should be set. early_stopping_rounds: int. Activates Iter overfitting detector with od_wait set to early_stopping_rounds...
Parameters --- Like in CatBoostClassifier, except loss_function, classes_count, class_names and class_weights loss_function : string, [default='RMSE'] 'RMSE' 'MAE' 'Quantile:alpha=value' 'LogLinQuantile:alpha=value' 'Poisson' 'MAPE' 'Lq:q=value' """ 实现scikit-learn API的CatBoost回归。
也可以针对整个Pipeline进行调优。用户可以一次针对整个pipeline进行调优，而不是单独调优pipeline内部的 ...
Other parameters Check https://catboost.ai/docs/concepts/python-reference_parameters-list.html for more parameters. thread_count Default value: 1 Methods Expand table fit Fit function for CatBoostRegressor model. get_model Return CatBoostRegressor model. Else returns None. get_...
Parameters --- Like in CatBoostClassifier, except loss_function, classes_count, class_names and class_weights loss_function : string, [default='RMSE'] 'RMSE' 'MAE' 'Quantile:alpha=value' 'LogLinQuantile:alpha=value' 'Poisson' 'MAPE' 'Lq...
Parameters --- Like in CatBoostClassifier, except loss_function, classes_count, class_names and class_weights loss_function : string, [default='RMSE'] 'RMSE' 'MAE' 'Quantile:alpha=value' 'LogLinQuantile:alpha=value' 'Poisson' 'MAPE' 'Lq...
Parameters --- Like in CatBoostClassifier, except loss_function, classes_count, class_names and class_weights loss_function : string, [default='RMSE'] 'RMSE' 'MAE' 'Quantile:alpha=value' 'LogLinQuantile:alpha=value' 'Poisson' 'MAPE' 'Lq...