Implementation of Auto Associative Kernel Regression (AAKR)
Project description
aakr
Python implementation of the Auto-Associative Kernel Regression (AAKR). The algorithm is suitable for signal reconstruction, which further be used for e.g. condition monitoring or anomaly detection.
Installation
pip install aakr
Example usage
Give examples of normal conditions as pandas DataFrame or numpy array.
from aakr import AAKR
aakr = AAKR()
aakr.fit(X_obs_nc)
Predict normal condition for given observations.
X_nc = aakr.predict(X_obs)
References
Jesse Myrberg (jesse.myrberg@gmail.com)
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