decisionintelligence
How to extract the features for machine learning methods?
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?
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!
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