autonlab/AutonFeat
A High Performance Library for Time-Series Featurization.
When you have raw, one-dimensional time-series data, this tool helps you extract meaningful characteristics or 'features' from it. It takes your raw time series (like sensor readings or stock prices) and transforms them into a set of descriptive values that can be used for further analysis or machine learning. Anyone working with time-dependent data, such as researchers, data scientists, or engineers, would find this useful.
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Use this if you need to quickly and efficiently derive descriptive features from your 1D time-series data for analysis, modeling, or pattern recognition.
Not ideal if your time series data is not a 1D NumPy array or if missing values are represented by something other than `np.nan`.
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25
Forks
2
Language
Python
License
MIT
Category
Last pushed
Aug 29, 2023
Commits (30d)
0
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