---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
Input In [2], in <cell line: 2>()
      1 from pycaret.classification import *
----> 2 s = setup(data, target = 'Class variable', use_gpu="force")

File ~/NVIDIA/pycaret/pycaret/classification/functional.py:596, in setup(data, data_func, target, index, train_size, test_data, ordinal_features, numeric_features, categorical_features, date_features, text_features, ignore_features, keep_features, preprocess, create_date_columns, imputation_type, numeric_imputation, categorical_imputation, iterative_imputation_iters, numeric_iterative_imputer, categorical_iterative_imputer, text_features_method, max_encoding_ohe, encoding_method, rare_to_value, rare_value, polynomial_features, polynomial_degree, low_variance_threshold, group_features, group_names, remove_multicollinearity, multicollinearity_threshold, bin_numeric_features, remove_outliers, outliers_method, outliers_threshold, fix_imbalance, fix_imbalance_method, transformation, transformation_method, normalize, normalize_method, pca, pca_method, pca_components, feature_selection, feature_selection_method, feature_selection_estimator, n_features_to_select, custom_pipeline, custom_pipeline_position, data_split_shuffle, data_split_stratify, fold_strategy, fold, fold_shuffle, fold_groups, n_jobs, use_gpu, html, session_id, system_log, log_experiment, experiment_name, experiment_custom_tags, log_plots, log_profile, log_data, verbose, memory, profile, profile_kwargs)
    594 exp = _EXPERIMENT_CLASS()
    595 set_current_experiment(exp)
--> 596 return exp.setup(
    597     data=data,
    598     data_func=data_func,
    599     target=target,
    600     index=index,
    601     train_size=train_size,
    602     test_data=test_data,
    603     ordinal_features=ordinal_features,
    604     numeric_features=numeric_features,
    605     categorical_features=categorical_features,
    606     date_features=date_features,
    607     text_features=text_features,
    608     ignore_features=ignore_features,
    609     keep_features=keep_features,
    610     preprocess=preprocess,
    611     create_date_columns=create_date_columns,
    612     imputation_type=imputation_type,
    613     numeric_imputation=numeric_imputation,
    614     categorical_imputation=categorical_imputation,
    615     iterative_imputation_iters=iterative_imputation_iters,
    616     numeric_iterative_imputer=numeric_iterative_imputer,
    617     categorical_iterative_imputer=categorical_iterative_imputer,
    618     text_features_method=text_features_method,
    619     max_encoding_ohe=max_encoding_ohe,
    620     encoding_method=encoding_method,
    621     rare_to_value=rare_to_value,
    622     rare_value=rare_value,
    623     polynomial_features=polynomial_features,
    624     polynomial_degree=polynomial_degree,
    625     low_variance_threshold=low_variance_threshold,
    626     group_features=group_features,
    627     group_names=group_names,
    628     remove_multicollinearity=remove_multicollinearity,
    629     multicollinearity_threshold=multicollinearity_threshold,
    630     bin_numeric_features=bin_numeric_features,
    631     remove_outliers=remove_outliers,
    632     outliers_method=outliers_method,
    633     outliers_threshold=outliers_threshold,
    634     fix_imbalance=fix_imbalance,
    635     fix_imbalance_method=fix_imbalance_method,
    636     transformation=transformation,
    637     transformation_method=transformation_method,
    638     normalize=normalize,
    639     normalize_method=normalize_method,
    640     pca=pca,
    641     pca_method=pca_method,
    642     pca_components=pca_components,
    643     feature_selection=feature_selection,
    644     feature_selection_method=feature_selection_method,
    645     feature_selection_estimator=feature_selection_estimator,
    646     n_features_to_select=n_features_to_select,
    647     custom_pipeline=custom_pipeline,
    648     custom_pipeline_position=custom_pipeline_position,
    649     data_split_shuffle=data_split_shuffle,
    650     data_split_stratify=data_split_stratify,
    651     fold_strategy=fold_strategy,
    652     fold=fold,
    653     fold_shuffle=fold_shuffle,
    654     fold_groups=fold_groups,
    655     n_jobs=n_jobs,
    656     use_gpu=use_gpu,
    657     html=html,
    658     session_id=session_id,
    659     system_log=system_log,
    660     log_experiment=log_experiment,
    661     experiment_name=experiment_name,
    662     experiment_custom_tags=experiment_custom_tags,
    663     log_plots=log_plots,
    664     log_profile=log_profile,
    665     log_data=log_data,
    666     verbose=verbose,
    667     memory=memory,
    668     profile=profile,
    669     profile_kwargs=profile_kwargs,
    670 )

File ~/NVIDIA/pycaret/pycaret/classification/oop.py:721, in ClassificationExperiment.setup(self, data, data_func, target, index, train_size, test_data, ordinal_features, numeric_features, categorical_features, date_features, text_features, ignore_features, keep_features, preprocess, create_date_columns, imputation_type, numeric_imputation, categorical_imputation, iterative_imputation_iters, numeric_iterative_imputer, categorical_iterative_imputer, text_features_method, max_encoding_ohe, encoding_method, rare_to_value, rare_value, polynomial_features, polynomial_degree, low_variance_threshold, group_features, group_names, remove_multicollinearity, multicollinearity_threshold, bin_numeric_features, remove_outliers, outliers_method, outliers_threshold, fix_imbalance, fix_imbalance_method, transformation, transformation_method, normalize, normalize_method, pca, pca_method, pca_components, feature_selection, feature_selection_method, feature_selection_estimator, n_features_to_select, custom_pipeline, custom_pipeline_position, data_split_shuffle, data_split_stratify, fold_strategy, fold, fold_shuffle, fold_groups, n_jobs, use_gpu, html, session_id, system_log, log_experiment, experiment_name, experiment_custom_tags, log_plots, log_profile, log_data, engine, verbose, memory, profile, profile_kwargs)
    718 self.fold_shuffle_param = fold_shuffle
    719 self.fold_groups_param = fold_groups
--> 721 self._initialize_setup(
    722     n_jobs=n_jobs,
    723     use_gpu=use_gpu,
    724     html=html,
    725     session_id=session_id,
    726     system_log=system_log,
    727     log_experiment=log_experiment,
    728     experiment_name=experiment_name,
    729     memory=memory,
    730     verbose=verbose,
    731 )
    733 # Prepare experiment specific params ======================= >>
    735 self.log_plots_param = log_plots

File ~/NVIDIA/pycaret/pycaret/internal/pycaret_experiment/tabular_experiment.py:354, in _TabularExperiment._initialize_setup(self, n_jobs, use_gpu, html, session_id, system_log, log_experiment, experiment_name, memory, verbose)
    352 message = f"cuML is outdated or not found. Required version is >=22.10, got {__version__}"
    353 if use_gpu == "force":
--> 354     raise ImportError(message)
    355 else:
    356     self.logger.warning(message)

ImportError: cuML is outdated or not found. Required version is >=22.10, got 3.0.0.rc4