I use pandas to do feature extraction for machine learning. I hope to achieve the following: Consider I have five data processing steps done sequentially, and I execute it once, the results will be saved automatically. Next time, if I change forth step, the library will automatically start from third step. Would this cache function be supported in Pandas or sklearn.pipeline.Pipeline or other data processing libraries naturally without our need to save them explicitly?

  • $\begingroup$ I encountered the same inconvenience and created what is hopefully a useful library: slobad $\endgroup$ – slobad May 12 '20 at 15:14

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