code: def quick_ts_plot(y_true, y_pred, modelname="Prophet"):
      fig, ax = plt.subplots(figsize=(15, 7))
      labels = ["actual", "forecast"]
      y_true.plot(
          ax=ax,
      )
      y_pred.plot(
          ax=ax,
      )
      ax.legend(labels)
      plt.title(
          "%s: Actual vs Forecast in expanding (training) window Cross Validation"
          % modelname,
          fontsize=20,
      )
  
file_path: Auto_TS/auto_ts/utils/val.py
imports: import numpy
  import pandas
  import matplotlib.pyplot
  import seaborn
  from sklearn.model_selection import TimeSeriesSplit
  from sklearn.model_selection import GridSearchCV
  import pdb
label_desc: Use image node_id 4 for calling a global function with example usage: quick_ts_plot(y_true, y_pred, modelname) without return types