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.
Available on PyPI.
Use this if you need to systematically benchmark and evaluate multiple time series machine learning algorithms against each other on various datasets.
Not ideal if you are looking for a tool to build or deploy a time series forecasting or classification model for a specific business problem.
Stars
55
Forks
19
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Dependencies
7
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