code: def _split_metafeature_array(self):
      dataset_metafeatures = self.meta_base.get_metafeatures(
          self.dataset_name, self.use_features
      )
      all_other_datasets = self.meta_base.get_all_dataset_names()
      all_other_datasets.remove(self.dataset_name)
      all_other_metafeatures = self.meta_base.get_metafeatures(
          all_other_datasets, self.use_features
      )
      return dataset_metafeatures, all_other_metafeatures
  
file_path: auto-sklearn/autosklearn/metalearning/optimizers/metalearn_optimizer/metalearner.py
imports: import ast
  import numpy
  import pandas
  import sklearn.utils
  from autosklearn.metalearning.metalearning.kNearestDatasets.kND import KNearestDatasets
label_desc: Use image node_id 5 for calling the MetaLearningOptimizer obj's underlying member method code with example usage: obj._split_metafeature_array() and returns: dataset_metafeatures,  all_other_metafeatures