blue-yonder/tsfresh
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Automatic extraction of relevant features from time series:
9 mentions on Hacker News by 8 people: 4 stories, 5 comments · first 2016-10-30 · latest 2021-06-22
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…and importance of each characteristic for the regression or classification tasks at hand.» [1]: https://github.com/blue-yonder/tsfresh
comment by StreakyCobra · 2021-06-22 · in Kats: One stop shop for time series analysis in Python -
…for feature engineering, feature learning, feature selection and generic transformations. Examples: https://github.com/blue-yonder/tsfresh or https://github.com/prostodata/prosto Which approach will win is not clear.
comment by prostodata · 2020-09-21 · in Sktime: A Unified Python Toolbox for Machine Learning with Time Series -
…Automated feature engineering with main focus on relational structures and deep feature synthesis o https://github.com/blue-yonder/tsfresh - Automatic extraction of relevant features from time series o…
comment by asavinov · 2019-02-14 · in The Unreasonable Effectiveness of Deep Feature Extraction -
…- Combines feature engineering and data mining with strong focus on time series analysis o https://github.com/blue-yonder/tsfresh - Automatically extract informative features (also from time series)
comment by asavinov · 2018-09-11 · in Forecasting: Principles and Practice -
How does featuretools compare to tsfresh: https://github.com/blue-yonder/tsfresh ?
comment by techno_modus · 2018-04-09 · in Featuretools – An open source framework for automated feature engineering