code: def _full_transform(pipeline: "Pipeline", X, y, **kwargs):
      for _, _, transformer in pipeline._iter(**kwargs):
          X, y = pipeline._memory_transform(transformer, X, y)
      return X, y
  
imports: import platform
  import warnings
  from copy import deepcopy
  from inspect import signature
  import imblearn.pipeline
  import sklearn.pipeline
  from sklearn.base import clone
  from sklearn.utils import _print_elapsed_time
  from sklearn.utils.metaestimators import available_if
  from sklearn.utils.validation import check_memory
  from pycaret.utils._show_versions import _get_deps_info
  from pycaret.utils.generic import get_all_object_vars_and_properties, variable_return
label_desc: Use image node_id 7 for calling a global function with example usage: _full_transform(pipeline, X, y) and returns: X,  y