csep.models.EvaluationResult

class csep.models.EvaluationResult(test_distribution=None, name=None, observed_statistic=None, quantile=None, status='', obs_catalog_repr='', sim_name=None, obs_name=None, min_mw=None)

__init__(test_distribution=None, name=None, observed_statistic=None, quantile=None, status='', obs_catalog_repr='', sim_name=None, obs_name=None, min_mw=None)

Stores the result of an evaluation.

Parameters:

• test_distribution (1d array-like) – collection of statistics computed from stochastic event sets

• name (str) – name of the evaluation

• observed_statistic (float or int) – statistic computed from target observed_catalog

• quantile (tuple or float) – quantile of observed statistic from test distribution

• status (str) – optional

• obs_catalog_repr (str) – text information about the observed_catalog used for the evaluation

• sim_name (str) – name of simulation

• obs_name (str) – name of observed observed_catalog

Methods

__init__([test_distribution, name, ...])	Stores the result of an evaluation.
from_dict(adict)	Creates evaluation result from a dictionary :param adict: stores information about classes :type adict: dict
plot()
to_dict()