code: def get_input_feature_names(m):
      return m.feature_names_
  
file_path: coremltools/coremltools/converters/sklearn/_dict_vectorizer.py
imports: from ...None import SPECIFICATION_VERSION
  from ..._deps import _HAS_SKLEARN
  from ...models import MLModel
  from ...models._feature_management import process_or_validate_features
  from ...models._interface_management import set_transform_interface_params
  from ...models.feature_vectorizer import create_feature_vectorizer
  from ...proto import Model_pb2
  from ...models import datatypes
  from ...models.pipeline import Pipeline
label_desc: Use image node_id 4 for calling a global function with example usage: get_input_feature_names(m) and returns: m