Retrieve the feature derivation log content and log length for a time series project as JSON.
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:
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
Maximum number of feature to be generated, e.g., Maximum number of feature to be generated is 1440
Window sizes used in rolling statistics / lag extractors, e.g., The window sizes chosen to be: 2 months
Features that are specified as known-in-advance, e.g., Variables treated as apriori: holiday
Details about features generated as timeseries features, and their priority, e.g., Generating feature "date (actual)" from "date" (priority: 1)
Details about why certain variables are transformed in the input data, e.g., Generating variable "y (log)" from "y" because multiplicative trend is detected
Click Try It! to start a request and see the response here!