floatcsep.extras.sequential_information_gain

floatcsep.extras.sequential_information_gain(gridded_forecasts, benchmark_forecasts, observed_catalogs, seed=None, random_numbers=None)

Parameters:

• gridded_forecasts – list csep.core.forecasts.GriddedForecast

• benchmark_forecasts – list csep.core.forecasts.GriddedForecast

• observed_catalogs – list csep.core.catalogs.Catalog

• timewindows – list str.

• seed (int) – used fore reproducibility, and testing

• random_numbers (numpy.ndarray) – random numbers used to override the random number generation. injection point for testing.

Returns:

csep.core.evaluations.EvaluationResult

Return type:

evaluation_result