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How to extract the features for machine learning methods? #15

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isCopyman opened this issue Jun 13, 2024 · 2 comments
Open

How to extract the features for machine learning methods? #15

isCopyman opened this issue Jun 13, 2024 · 2 comments

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@isCopyman
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The paper mentions using traditional machine learning methods, such as LR (Logistic Regression) and RF (Random Forest). How did you extract the features for these methods?

@qiu69
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qiu69 commented Jun 14, 2024

Hello, Thank you for your attention and questions. TFB is a flexible code library that is compatible with third-party time series prediction libraries. We support calling algorithms in darts, where LR and RF come from darts. You can access https://github.com/unit8co/darts . Go and read the user manual inside. There is a more detailed introduction there, hoping it can help you!

@qiu69
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qiu69 commented Aug 18, 2024

Hi, If you have any further questions, please feel free to report them to us. If the problem has been resolved, please close the issue.

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