Retrieve a text file containing the time series project feature log.
The Time Series Feature Log provides details about the feature generation process for a time series project. It includes information about which features are generated and their priority,as well as the detected properties of the time series data such as whether the series is stationary, and periodicities detected.
This route is only supported for time series projects that have finished partitioning.
The feature derivation log will include information about:
Maximum number of feature to be generated, e.g., Limit on the maximum number of feature in this project is 500
Number of derived features tested during the feature generation process, e.g., Total number of derived features during the feature generation process is 571
Number of generated features removed during the feature reduction process e.g. Total number of features removed during the feature reduction process is 472
Number of remaining features after the combined feature generation and reduction process, e.g., The finalized number of features is 99
Detected stationarity of the series, e.g., Series detected as non-stationary
Detected presence of multiplicative trend in the series, e.g., Multiplicative trend detected
Detected periodicities in the series, e.g., Detected periodicities: 7 day
Window sizes used in rolling statistics / lag extractors, e.g., The window sizes chosen to be: 2 months (because the time step is 1 month and Feature Derivation Window is 2 months)
Features that are specified as known-in-advance, e.g., Variables treated as apriori: holiday
Details about why certain variables are transformed in the input data, e.g., Generating variable "y (log)" from "y" because multiplicative trend is detected
Details about features generated as time series features, and their priority, e.g., Generating feature "date (actual)" from "date" (priority: 1)
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