这是我的代码,我在那里安装模型
model_armax = ARIMA(df.productivity, exog = df[['calories_burnt', 'fat_level', 'distance_walked', 'steps',
'weight', 'water', 'time_to_bed', 'wakeup_time', 'bedtime',
'asleep', 'sleep_periods', 'sports_total_time', 'food_quality',
'food_quantity', 'alcohol', 'energy', 'meditation',
'mood', 'stress', 'soreness', 'fitness', 'engagement',
'exploration']], order = (3,0,3))
results_armax = model_armax.fit(disp = 0)
这是预测未来趋势的代码
df_armax_forecast = model_armax.predict(start = '2020-02-22', end = '2020-07-01',
exog = df_test[['calories_burnt', 'fat_level', 'distance_walked', 'steps',
'weight', 'water', 'time_to_bed', 'wakeup_time', 'bedtime',
'asleep', 'sleep_periods', 'sports_total_time', 'food_quality',
'food_quantity', 'alcohol', 'energy', 'meditation',
'mood', 'stress', 'soreness', 'fitness', 'engagement',
'exploration']])
这是错误跟踪
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-177-dc09c88b9c6f> in <module>
5 'food_quantity', 'alcohol', 'energy', 'meditation',
6 'mood', 'stress', 'soreness', 'fitness', 'engagement',
----> 7 'exploration']])
TypeError: predict() missing 1 required positional argument: 'params'
您应该使用
results_armax.predict
而不是model_armax.predict
。ARMA模型的预测功能要求您说出参数。拟合ARMA模型结果的预测函数已拟合参数请参见文档中的参数差异:
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