code: def is_regression_from_data(data):
      """
      checks for regression task 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
      Y = y_from_data(data)
      if len(Y.shape) == 1 or (len(Y.shape) > 1 and Y.shape[1] == 1):
          return True
      return False
  
imports: from .imports import *
  from subprocess import Popen
label_desc: Use image node_id 16 for calling a global function with example usage: is_regression_from_data(data) and returns: False, False, True, False, False