A Python Toolbox for Benchmarking Machine Learning on Partially-Observed Time Series
copied from cf-staging / benchpotsTo evaluate the performance of algorithms on POTS datasets, a benchmarking toolkit is necessary, hence the ecosystem library BenchPOTS is developed. BenchPOTS provides the standard and unified preprocessing pipelines of a variety of POTS datasets. It supports a variety of evaluation tasks to help users understand the performance of different algorithms.
