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a (scikit-learn/sktime) transformer is the general concept and defines a unified software interface, based on a mathematical/conceptual abstraction. The linked repositories have special operations/transformations in them (for feature extraction) which could be wrapped as sktime transformers, which in turn would enable their use in, say, time series forecasting pipelines. So the relation between the linked feature extractors and sktime transformers is, on the conceptual level, "is an example of", and on the software level, "could be wrapped under the software interface specification to allow use as a pipeline component". |
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This repo contains tools for feature engineering for time series https://github.com/NITRO-AI/NitroFE
(for non-TS items there is something similar like Feature Engine) and FeatureTools
How are the transformers different from these libraries?
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