如何将时间趋势纳入回归问题? [英] How to incorporate time trends in a regression problem?

问题描述

眼前的问题是从可用功能中预测钻石价格.随钻头一起提供了描述钻石质量的参数(4 C和其他).

Problem at hand is to predict diamond prices from the features available. Parameters depicting the diamond quality (4 C's and others) are available along with the Price and date of sale for a span of 4 years.

我们假设，每年假期前后的价格都有逐年趋势.

We have an assumption that there would be a yearly trend in prices near the holiday period every year.

我们希望将这种趋势纳入我们的预测算法中.我们应该如何进行呢?

We would like to incorporate such trends in our prediction algorithm. How should we move ahead with this?

对于识别其他此类趋势并将其纳入回归模型的任何建议，我们深表感谢.

Any suggestions for identifying other such trends and incorporating them in a regression model are much appreciated.

推荐答案

我们的AI画廊中有很多实验，请参考它:

We have a lot of experiments in our AI gallery, please refer to it:

https://gallery.azure.ai/browse?s=predict&skip=0&tags=%5B%22Regression%22%5D

https://gallery.azure.ai/browse?s=predict&skip=0&tags=%5B%22Regression%22%5D

请根据您的特定用户情况告诉我是否还有其他挑战.

Please tell me if you have further challenge according to your specific user story.

此致

雨桐

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