Simple machine learning tool in Python (>=3.7) computing an anomaly score of seismic waveform amplitudes. By using a pre-trained Isolation forest model, the program can be used for identification of outliers in semismic data, assign robustness weights, or check instruments and metadata errors
python machine-learning obspy outlier-detection isolation-forest seismic-waves waveform-amplitudes seismic-metadata anomaly-score
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Updated
Dec 11, 2024 - Python