text: import pandas as pd
  import matplotlib.pyplot as plt
  from tsaugur.models import create_model
  from tsaugur.models import compare_models
  from tsaugur.models import load_model
  from tsaugur.datasets import load_dataset
  
  
  
  # d = pd.read_csv("datasets/kaggle_sales.csv").sales
  # y_train = d[(len(d) - 300):(len(d) - 100)]
  # y_test = d[(len(d) - 100):]
  # period = 7
  
  d = load_dataset("air_passengers")
  dates = pd.to_datetime(d.month)
  d = d.passengers
  y_train = d[:134]
  y_test = d[134:]
  period = 12
  
  m = create_model("holt_winters")
  m.fit(y_train, period=12)
  
  # m.save_model("mod.joblib")
  # m = load_model("mod.joblib")
  
  m.plot_predict(55)
  m.plot_score(y_test)
  
  comp = compare_models(["holt_winters", "sarima", "tbats"],
                        y_train, y_test, period=period)
  comp.tabulate()
  comp.plot()
  