Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque. A popular diagnostic for understanding the decisions ...
WRF-Python is a post-processing tool similar to NCL's WRF Package. Contains over 30 diagnostic routines (CAPE, storm relative helicity, cloud top temperature, etc). Interpolation routines (level, ...
PyOD is a versatile toolkit for detecting outliers in multivariate data, introduced in 2019. Outlier detection identifies data points that significantly differ from the majority, aiding in tasks like ...
def vespagram(st, smin, smax, ssteps, baz, winlen, stat='power', n=1): Calculates the vespagram for a seismic array over a given slowness range, for a single backazimuth, using the statistic specified ...
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