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interpretml / DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.
https://interpretml.github.io/DiCE/
MIT License
1.37k stars 188 forks source link

"feature_weights" not working #443

Open DarthZonke opened 3 months ago

DarthZonke commented 3 months ago

I cannot use "feature_weights" on DICE, I am getting the error below, please assist:

Code: query_instance = denied_loans.drop(columns="predicted") dice_exp = exp.generate_counterfactuals(query_instance, total_CFs=1, desired_class="opposite", features_to_vary=vary_feature, proximity_weight=1, diversity_weight=0,
categorical_penalty=1, . feature_weights=feature_weights, random_seed=42, verbose=True, method="genetic")

dice_exp.visualize_as_dataframe()

Error:

TypeError Traceback (most recent call last)

in () 1 query_instance = denied_loans.drop(columns="predicted") ----> 2 dice_exp = exp.generate_counterfactuals(query_instance, 3 total_CFs=1, 4 desired_class="opposite", 5 features_to_vary=vary_feature, /usr/local/lib/python3.10/dist-packages/dice_ml/explainer_interfaces/explainer_base.py in generate_counterfactuals(self, query_instances, total_CFs, desired_class, desired_range, permitted_range, features_to_vary, stopping_threshold, posthoc_sparsity_param, proximity_weight, sparsity_weight, diversity_weight, categorical_penalty, posthoc_sparsity_algorithm, verbose, **kwargs) 184 for query_instance in tqdm(query_instances_list): 185 self.data_interface.set_continuous_feature_indexes(query_instance) --> 186 res = self._generate_counterfactuals( 187 query_instance, total_CFs, 188 desired_class=desired_class, TypeError: DiceRandom._generate_counterfactuals() got an unexpected keyword argument 'feature_weights