预测时间序列数据 [英] Predict Time Series Data

问题描述

我如何1)使用(ARIMA)基于时间序列，并以3年的销售数据按月细分，以预测未来4个月的销售，

How can I 1) use (ARIMA) to predict the future 4 months' sales based on a time series with 3-year sales data in a monthly breakdown,  

2)然后使用该预测和另一因子温度来使用"VSM(VSR)"训练数据.并在Azure机器学习实验中完成了4个月的销售?

2) Then use this prediction and another factor temperature to train the data using "VSM(VSR)" and have a finalized 4 months' sales in Azure Machine Learning Experiment? 

1000谢谢.

推荐答案

我们在AI画廊中进行了大量实验，供您参考.我为您挑选了几个:

We have a lot of experiments in out AI gallery for you to refer. I have picked up several for you:

https://gallery.azure.ai/Experiment/Time-Series-Forecasting-8

https://gallery.azure.ai/Experiment/Time-Series-Forecasting-8

https://gallery.azure.ai/Experiment/time-series-forecas-2

https://gallery.azure.ai/Experiment/time-series-forecas-2

此致

雨桐

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