hamishwoodrow / anomaly_detection Goto Github PK View Code? Open in Web Editor NEW 62.0 62.0 21.0 426 KB This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points. Python 2.68% Jupyter Notebook 97.32% anomaly-detection convolution detect-anomalies esd timeseries Introduction ยท People ยท Discuss
Column naming Line 271 has a reference to the sunspots data and needs correcting to allow any user inputted data to pass.
why the standard deviation is not moving version? when I calculate the standard deviation, according to the code, std_resid = np.std(df.residual) what I get is a single number, which means the standard deviation is not calculate in a moving way. why is that?
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