def test_coefficients_gaussian_distribution_default_initial_guess(self):
"""Ensure that the values for the optimised_coefficients match the
expected values, and the coefficient names also match
expected values for a Gaussian distribution, where the default
values for the initial guess are used, rather than using a linear
least-squares regression to construct an initial guess."""
expected = [-0.0002, 0.7977, 0.0004, 0.9973]
plugin = Plugin(self.distribution, self.current_cycle)
plugin.ESTIMATE_COEFFICIENTS_FROM_LINEAR_MODEL_FLAG = False
result = plugin.process(self.historic_temperature_forecast_cube,
self.temperature_truth_cube)
self.assertEMOSCoefficientsAlmostEqual(result.data, expected)
self.assertArrayEqual(
result.coord("coefficient_name").points, self.coeff_names)
def test_coefficients_truncated_gaussian_default_initial_guess(self):
"""Ensure that the values for the optimised_coefficients match the
expected values, and the coefficient names also match
expected values for a truncated Gaussian distribution, where the
default values for the initial guess are used, rather than using a
linear least-squares regression to construct an initial guess.."""
distribution = "truncated_gaussian"
plugin = Plugin(distribution, self.current_cycle)
plugin.ESTIMATE_COEFFICIENTS_FROM_LINEAR_MODEL_FLAG = False
result = plugin.process(self.historic_wind_speed_forecast_cube,
self.wind_speed_truth_cube)
self.assertEMOSCoefficientsAlmostEqual(
result.data, self.expected_mean_predictor_truncated_gaussian)
self.assertArrayEqual(
result.coord("coefficient_name").points, self.coeff_names)