code: def _read_from_csv(x, y):
      df = pd.read_csv(x)
      target = df.pop(y).dropna().to_numpy()
      return df, target
  
imports: from pathlib import Path
  from typing import Dict
  from typing import List
  from typing import Optional
  from typing import Type
  from typing import Union
  import pandas
  from autokeras import blocks
  from autokeras import nodes
  from autokeras.engine import tuner
  from autokeras.tasks import structured_data
  from autokeras.tuners import greedy
  from autokeras.utils import types
label_desc: Use image node_id 2 for calling the SupervisedTimeseriesDataPipeline obj's underlying member method code with example usage: obj._read_from_csv(x, y) and returns: df,  target