In Pyper, the task decorator is used to transform functions into composable pipelines. Let's simulate a pipeline that performs a series of transformations on some data.

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

Abstract: Power measurement algorithms based on the Fourier transform are susceptible to errors caused by interharmonics, while wavelet transform algorithms are particularly sensitive to even ...

The transform_text function in app.py is the core of the preprocessing logic. The current implementation uses multiple loops and an intermediate list that is repeatedly cleared and reused. This can be ...

Abstract: The present work deals with the improvement of short-term wind energy forecasting techniques by combining time series decomposition techniques (Wavelet Transform) and Deep Learning recurrent ...