transfer_learning_lr_m4_air.py

lr_model_m4 = LinearRegressionModel(lags=30, output_chunk_length=1)
lr_model_m4.fit(m4_train)

tic = time.time()
preds = lr_model_m4.predict(n=HORIZON, series=air_train)
lr_time_transfer = time.time() - tic

lr_smapes_transfer = eval_forecasts(preds, air_test)