def test_1D_smoothing(self): """ Test :meth:`bet.postProcess.plotP.smooth_marginals_1D`. """ (bins, marginals) = plotP.calculate_1D_marginal_probs(self.P_samples, self.samples, self.lam_domain, nbins=10) marginals_smooth = plotP.smooth_marginals_1D(marginals, bins, sigma=10.0) nptest.assert_equal(marginals_smooth[0].shape, marginals[0].shape) nptest.assert_almost_equal(np.sum(marginals_smooth[0]), 1.0)
def test_1D_smoothing(self): """ Test :meth:`bet.postProcess.plotP.smooth_marginals_1D`. """ (bins, marginals) = plotP.calculate_1D_marginal_probs(self.samples, nbins = 10) marginals_smooth = plotP.smooth_marginals_1D(marginals, bins, sigma = 10.0) nptest.assert_equal(marginals_smooth[0].shape, marginals[0].shape) nptest.assert_almost_equal(np.sum(marginals_smooth[0]), 1.0)
file_extension = ".eps", plot_surface=False) # smooth 2d marginals probs (optional) marginals2D = plotP.smooth_marginals_2D(marginals2D, bins, sigma=0.1) # plot 2d marginals probs plotP.plot_2D_marginal_probs(marginals2D, bins, input_samples, filename = "validation_smooth", file_extension = ".eps", plot_surface=False) # calculate 1d marginal probs (bins, marginals1D) = plotP.calculate_1D_marginal_probs(input_samples, nbins = [30, 30]) # plot 2d marginal probs plotP.plot_1D_marginal_probs(marginals1D, bins, input_samples, filename = "validation_raw", file_extension = ".eps") # smooth 1d marginal probs (optional) marginals1D = plotP.smooth_marginals_1D(marginals1D, bins, sigma=0.1) # plot 2d marginal probs plotP.plot_1D_marginal_probs(marginals1D, bins, input_samples, filename = "validation_smooth", file_extension = ".eps")