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/gist:fe9a13c61f29baabd766

Created May 8, 2015 02:06
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gistfile1.txt
def mad_based_outlier(points, thresh=3.5):
if len(points.shape) == 1:
points = points[:,None]
median = np.median(points, axis=0)
diff = np.sum((points - median)**2, axis=-1)
diff = np.sqrt(diff)
med_abs_deviation = np.median(diff)
modified_z_score = 0.6745 * diff / med_abs_deviation
return modified_z_score > thresh
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