Jenks Natural Breaks#

class oats.threshold.jenks.JenksThreshold(*args, **kwargs)[source]#

Bases: Threshold

Getting threshold using 1-D clustering (Jenks Natural Breaks). No need to call fit().

fit(*args, **kwargs)[source]#
get_threshold(data, n_partitions=20)[source]#
Parameters:

  • data (np.ndarray) – numpy array of scores

  • n_partitions (int, optional) – number of partitions to fit. Defaults to 20.

Returns:

thresholds

Return type:

np.ndarray