used_ram_limit=None, gpu_ram_part=None, pinned_memory_size=None, allow_writing_files=None, final_ctr_computation_mode=None, approx_on_full_history=None, boosting_type=None, simple_ctr=None, combinations_ctr=None, per_feature_ctr=None, ctr_description=None, ctr_target_border_count=None, ta...
used_ram_limit=None, gpu_ram_part=None, pinned_memory_size=None, allow_writing_files=None, final_ctr_computation_mode=None, approx_on_full_history=None, boosting_type=None, simple_ctr=None, combinations_ctr=None, per_feature_ctr=None, ctr_description=None, ctr_target_border_count=None, ta...
gpu_cat_features_storage=None, data_partition=None, metadata=None, early_stopping_rounds=None, cat_features=None, grow_policy=None, min_data_in_leaf=None, min_child_samples=None, max_leaves=None, num_leaves=None, score_function=None, leaf_estimation_backtracking=None, ctr_history_unit=None,...
可以针对单个独立的Estimator进行调优，例如LogisticRegression，也可以针对整个Pipeline进行调优。用户可以一次...
通常的做法是在训练数据再中分出一部分做为验证(Validation)数据，用来评估模型的训练效果。
Regressor File "C:\Users\gkourogiorgas\Documents\MEGAsync\Demand Forecasting\catboost.py", line 33, in <module> from catboost import CatBoostRegressor ImportError: cannot import name 'CatBoostRegressor'```} catboost version: {0.9.1.1} Operating System: {Win10 64bit} CPU: {i7} # GPU: {...
GPUHelper IdentityTransformer LightGBMClassifier LightGBMRegressor LightGbmHelper LinearSVMWrapper LogTransformer NBWrapper NuSVCWrapper PowerTransformer PreprocWrapper QuantileTransformerWrapper SGDClassifierWrapper SVCWrapper SparseNormalizer StandardScalerWrapper TabnetClassifier TabnetRegressor TruncatedSVDW...
gpu_cat_features_storage=None, data_partition=None, metadata=None, early_stopping_rounds=None, cat_features=None, grow_policy=None, min_data_in_leaf=None, min_child_samples=None, max_leaves=None, num_leaves=None, score_function=None, ...
gpu_cat_features_storage=None, data_partition=None, metadata=None, early_stopping_rounds=None, cat_features=None, grow_policy=None, min_data_in_leaf=None, min_child_samples=None, max_leaves=None, num_leaves=None, score_function=None, ...
gpu_cat_features_storage=None, data_partition=None, metadata=None, early_stopping_rounds=None, cat_features=None, grow_policy=None, min_data_in_leaf=None, min_child_samples=None, max_leaves=None, num_leaves=None, score_function=None, ...