code: def _get_model_weights(self) -> dict:
      num_models = len(self.base_model_names)
      model_weight_dict = {
          self.base_model_names[i]: self.weights_[i]
          for i in range(num_models)
      }
      return model_weight_dict
  
imports: import logging
  from autogluon.common.features.types import S_STACK
  from ...constants import MULTICLASS, QUANTILE, SOFTCLASS
  from ..abstract.abstract_model import AbstractModel
  from .ensemble_selection import EnsembleSelection, SimpleWeightedEnsemble
label_desc: Use image node_id 11 for calling the GreedyWeightedEnsembleModel obj's underlying member method code with example usage: obj._get_model_weights() and returns: model_weight_dict