如何解决使用pycaret Regressor时出错
这里是链接https://medium.com/analytics-vidhya/pycaret-101-for-beginners-27d9aefd34c5
在下面的教程中,您将看到代码
# initialize setup
from pycaret.regression import *
s = setup(data,target = 'Price',transform_target = True,log_experiment = True,experiment_name = 'diamond')
运行时出现此错误。
AttributeError Traceback (most recent call last)
<ipython-input-19-a403dc1b9b13> in <module>
----> 1
~/opt/anaconda3/envs/pycaretbook/lib/python3.8/site-packages/pycaret/internal/tabular.py in setup(data,target,ml_usecase,available_plots,train_size,test_data,preprocess,imputation_type,iterative_imputation_iters,categorical_features,categorical_imputation,categorical_iterative_imputer,ordinal_features,high_cardinality_features,high_cardinality_method,numeric_features,numeric_imputation,numeric_iterative_imputer,date_features,ignore_features,normalize,normalize_method,transformation,transformation_method,handle_unkNown_categorical,unkNown_categorical_method,pca,pca_method,pca_components,ignore_low_variance,combine_rare_levels,rare_level_threshold,bin_numeric_features,remove_outliers,outliers_threshold,remove_multicollinearity,multicollinearity_threshold,remove_perfect_collinearity,create_clusters,cluster_iter,polynomial_features,polynomial_degree,trigonometry_features,polynomial_threshold,group_features,group_names,feature_selection,feature_selection_threshold,feature_selection_method,feature_interaction,feature_ratio,interaction_threshold,fix_imbalance,fix_imbalance_method,transform_target,transform_target_method,data_split_shuffle,data_split_stratify,fold_strategy,fold,fold_shuffle,fold_groups,n_jobs,use_gpu,custom_pipeline,html,session_id,log_experiment,experiment_name,log_plots,log_profile,log_data,silent,verbose,profile,profile_kwargs,display)
1736 "SubProcess save_model() called =================================="
1737 )
-> 1738 save_model(prep_pipe,"Transformation Pipeline",verbose=False)
1739 logger.info(
1740 "SubProcess save_model() end =================================
~/opt/anaconda3/envs/pycaretbook/lib/python3.8/site-packages/sklearn/utils/_pprint.py in _safe_repr(object,context,maxlevels,level,changed_only)
403 level += 1
404 for o in object:
--> 405 orepr,oreadable,orecur = _safe_repr(
406 o,changed_only=changed_only)
407 append(orepr)
~/opt/anaconda3/envs/pycaretbook/lib/python3.8/site-packages/sklearn/utils/_pprint.py in _safe_repr(object,changed_only)
425 params = _changed_params(object)
426 else:
--> 427 params = object.get_params(deep=False)
428 components = []
429 append = components.append
~/opt/anaconda3/envs/pycaretbook/lib/python3.8/site-packages/sklearn/base.py in get_params(self,deep)
193 out = dict()
194 for key in self._get_param_names():
--> 195 value = getattr(self,key)
196 if deep and hasattr(value,'get_params'):
197 deep_items = value.get_params().items()
AttributeError: 'Make_Time_Features' object has no attribute 'list_of_features'
谁能帮帮我。
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