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catch22 is a collection of 22 time-series features coded in C that can be run from Python, R, Matlab, and Julia. The catch22 features are a high-performing subset of the over 7000 features in hctsa. Features were selected based on their classification performance across a collection of 93 real-world time-series classification problems, as described in our open-access paper: - Lubba et al. (2019). catch22: CAnonical Time-series CHaracteristics (https://doi.org/10.1007/s10618-019-00647-x) The computational pipeline used to generate the catch22 feature set is in the op_importance (https://github.com/chlubba/op_importance) repository. For catch22-related information and resources, including a list of publications using catch22, see the catch22 wiki (https://github.com/chlubba/catch22/wiki). This package contains the implementation compiled as a shared library.
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