TypeError: _generate_counterfactuals() got an unexpected keyword argument 'feature_weights'

[Siki-cloud]

When running the below code in DICE_with_advanced_option.ipynb, it dumps due to the the below error:
code:

generate counterfactuals

dice_exp = exp.generate_counterfactuals(query_instance, total_CFs=4, desired_class="opposite",
feature_weights=feature_weights)

error:
TypeError Traceback (most recent call last)
Cell In[18], line 2
1 # generate counterfactuals
----> 2 dice_exp = exp.generate_counterfactuals(query_instance, total_CFs=4, desired_class="opposite",
3 feature_weights=feature_weights)

..\dice_ml\explainer_interfaces\explainer_base.py:161, in ExplainerBase.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)
159 for query_instance in tqdm(query_instances_list):
160 self.data_interface.set_continuous_feature_indexes(query_instance)
--> 161 res = self._generate_counterfactuals(
162 query_instance, total_CFs,
163 desired_class=desired_class,
164 desired_range=desired_range,
165 permitted_range=permitted_range,
166 features_to_vary=features_to_vary,
167 stopping_threshold=stopping_threshold,
168 posthoc_sparsity_param=posthoc_sparsity_param,
169 posthoc_sparsity_algorithm=posthoc_sparsity_algorithm,
170 verbose=verbose,
171 **kwargs)
172 cf_examples_arr.append(res)
173 self._check_any_counterfactuals_computed(cf_examples_arr=cf_examples_arr)

TypeError: _generate_counterfactuals() got an unexpected keyword argument 'feature_weights'

[gaugup]

@Siki-cloud The API generate_counterfacutals() doesn't support feature_weights

DiCE/dice_ml/explainer_interfaces/explainer_base.py

Line 122 in 8277afe

def generate_counterfactuals(self, query_instances, total_CFs,

. Is this issue a feature request?

[Siki-cloud]

@Siki-cloud The API generate_counterfacutals() doesn't support feature_weights

DiCE/dice_ml/explainer_interfaces/explainer_base.py

Line 122 in 8277afe

def generate_counterfactuals(self, query_instances, total_CFs,

. Is this issue a feature request?

I noticed that DiceRandom encounters errors, but is feature_weight not required for random-based? That's my understanding. However, for gradient-based methods, there is a custom feature_weight functionality implemented, which should be sufficient. Thank you.