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34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
# Copyright (c) 2014, James Hensman
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# Licensed under the BSD 3-clause license (see LICENSE.txt)
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import unittest
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import numpy as np
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import GPy
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class FITCtest(unittest.TestCase):
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def setUp(self):
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######################################
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# # 1 dimensional example
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N = 20
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# sample inputs and outputs
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self.X1D = np.random.uniform(-3., 3., (N, 1))
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self.Y1D = np.sin(self.X1D) + np.random.randn(N, 1) * 0.05
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######################################
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# # 2 dimensional example
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# sample inputs and outputs
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self.X2D = np.random.uniform(-3., 3., (N, 2))
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self.Y2D = np.sin(self.X2D[:, 0:1]) * np.sin(self.X2D[:, 1:2]) + np.random.randn(N, 1) * 0.05
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def test_fitc_1d(self):
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m = GPy.models.SparseGPRegression(self.X1D, self.Y1D)
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m.inference_method=GPy.inference.latent_function_inference.FITC()
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self.assertTrue(m.checkgrad())
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def test_fitc_2d(self):
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m = GPy.models.SparseGPRegression(self.X2D, self.Y2D)
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m.inference_method=GPy.inference.latent_function_inference.FITC()
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self.assertTrue(m.checkgrad())
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