From ba1c5d8b4907f661d39fe723bbe6944bdd2ff04e Mon Sep 17 00:00:00 2001 From: Martin Bubel Date: Wed, 4 Oct 2023 21:25:16 +0200 Subject: [PATCH] format on save --- GPy/testing/fitc.py | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/GPy/testing/fitc.py b/GPy/testing/fitc.py index 58f009d2..d1b82cc8 100644 --- a/GPy/testing/fitc.py +++ b/GPy/testing/fitc.py @@ -5,6 +5,7 @@ import unittest import numpy as np import GPy + class FITCtest(unittest.TestCase): def setUp(self): ###################################### @@ -12,23 +13,25 @@ class FITCtest(unittest.TestCase): N = 20 # sample inputs and outputs - self.X1D = np.random.uniform(-3., 3., (N, 1)) + self.X1D = np.random.uniform(-3.0, 3.0, (N, 1)) self.Y1D = np.sin(self.X1D) + np.random.randn(N, 1) * 0.05 ###################################### # # 2 dimensional example # sample inputs and outputs - self.X2D = np.random.uniform(-3., 3., (N, 2)) - self.Y2D = np.sin(self.X2D[:, 0:1]) * np.sin(self.X2D[:, 1:2]) + np.random.randn(N, 1) * 0.05 + self.X2D = np.random.uniform(-3.0, 3.0, (N, 2)) + self.Y2D = ( + np.sin(self.X2D[:, 0:1]) * np.sin(self.X2D[:, 1:2]) + + np.random.randn(N, 1) * 0.05 + ) def test_fitc_1d(self): m = GPy.models.SparseGPRegression(self.X1D, self.Y1D) - m.inference_method=GPy.inference.latent_function_inference.FITC() + m.inference_method = GPy.inference.latent_function_inference.FITC() self.assertTrue(m.checkgrad()) def test_fitc_2d(self): m = GPy.models.SparseGPRegression(self.X2D, self.Y2D) - m.inference_method=GPy.inference.latent_function_inference.FITC() + m.inference_method = GPy.inference.latent_function_inference.FITC() self.assertTrue(m.checkgrad()) -