tsml-py and tsml-eval
About tsml-py
time-series-machine-learning/tsml-py
A toolkit for time series machine learning algorithms that don't fit in aeon. Use aeon instead if you can!
This toolkit provides a sandbox for experimenting with new and in-development machine learning algorithms specifically designed for time series data. It helps data scientists and researchers test out novel approaches for tasks like forecasting or anomaly detection. You input your time series datasets and apply these experimental algorithms to see their performance and potential.
About tsml-eval
time-series-machine-learning/tsml-eval
Evaluation tools for time series machine learning algorithms.
This tool helps machine learning researchers and data scientists compare the performance of different time series algorithms. You input various time series datasets and the algorithms you want to test, and it outputs detailed evaluation metrics, showing which algorithms perform best. It's designed for those who develop or rigorously test new time series models.
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