code: def is_multilabel(data):
      """
      checks for multilabel from data
      """
      data_arg_check(val_data=data, val_required=True)
      if is_ner(data=data):
          return False  # NERSequence
      elif is_nodeclass(data=data):
          return False  # NodeSequenceWrapper
      elif is_linkpred(data=data):
          return False  # LinkSequenceWrapper
      multilabel = False
      Y = y_from_data(data)
      if len(Y.shape) == 1 or (len(Y.shape) > 1 and Y.shape[1] == 1):
          return False
      for idx, y in enumerate(Y):
          if idx >= 1024:
              break
          if np.issubdtype(type(y), np.integer) or np.issubdtype(
              type(y), np.floating
          ):
              return False
          total_for_example = sum(y)
          if total_for_example > 1:
              multilabel = True
              break
      return multilabel
  
imports: from .imports import *
  from subprocess import Popen
label_desc: Use image node_id 17 for calling a global function with example usage: is_multilabel(data) and returns: multilabel, False, False, False, False, False