Added parameter files - Alan

2026-06-11 15:15:15 +02:00 · 2013-10-02 12:11:53 +01:00 · 2013-10-02 12:11:53 +01:00 · 9b0b63dd4d
commit 9b0b63dd4d
parent 4e102a859b
2 changed files with 249 additions and 0 deletions
--- a/GPy/testing/parameter_testing.py
+++ b/GPy/testing/parameter_testing.py
@ -0,0 +1,72 @@
+'''
+Created on 4 Sep 2013
+
+@author: maxz
+'''
+import unittest
+from GPy.kern.constructors import rbf, linear, white
+from GPy.models.gp_regression import GPRegression
+import numpy
+from GPy.models.bayesian_gplvm import BayesianGPLVM
+from GPy.core.parameter import Parameter, Parameters
+
+
+class Test(unittest.TestCase):
+    N, D, Q = 100, 1, 2
+    def setUp(self):
+        self.rbf_variance = numpy.random.rand()
+        self.rbf_lengthscale = numpy.random.rand(self.Q)
+        self.linear_variance = numpy.random.rand(self.Q)
+        self.kern = (rbf(self.Q, self.rbf_variance, self.rbf_lengthscale, ARD=True)
+                     + linear(self.Q, self.linear_variance, ARD=True))
+        self.X = numpy.random.rand(self.N, self.Q) + 10
+        self.X_variance = numpy.random.rand(self.N, self.Q) * .2
+
+        K = self.kern.K(self.X)
+
+        self.Y = numpy.random.multivariate_normal(numpy.zeros(self.N), K + numpy.eye(self.N) * .2, self.D).T
+
+        self.bgplvm = BayesianGPLVM(self.Y, self.Q, self.X, self.X_variance, kernel=self.kern)
+        self.bgplvm.ensure_default_constraints()
+
+        self.parameter = Parameters([
+                                     Parameters([
+                                                 Parameter('X', self.X),
+                                                 Parameter('X_variance', self.X_variance),
+                                                 ],
+                                                prefix='X'),
+                                     Parameter('iip', self.bgplvm.Z),
+                                     Parameters([
+                                                 Parameter('rbf_variance', self.rbf_variance),
+                                                 Parameter('rbf_lengthscale', self.rbf_lengthscale)
+                                                 ],
+                                                'rbf'
+                                                ),
+                                     Parameter('linear_variance', self.linear_variance),
+                                     Parameter('noise_variance', self.linear_variance),
+                                     ])
+
+    def tearDown(self):
+        pass
+
+
+    def testGrepParamNames(self):
+        assert(self.bgplvm.grep_param_names('X_\d') == self.parameter.grep_param_names('X_\d'))
+        assert(self.bgplvm.grep_param_names('X_\d+_1') == self.parameter.grep_param_names('X_\d+_1'))
+        assert(self.bgplvm.grep_param_names('X_\d_1') == self.parameter.grep_param_names('X_\d_1'))
+        assert(self.bgplvm.grep_param_names('X_.+_1') == self.parameter.grep_param_names('X_.+_1'))
+        assert(self.bgplvm.grep_param_names('X_1_1') == self.parameter.grep_param_names('X_1_1'))
+        assert(self.bgplvm.grep_param_names('X') == self.parameter.grep_param_names('X'))
+        assert(self.bgplvm.grep_param_names('rbf') == self.parameter.grep_param_names('rbf'))
+        assert(self.bgplvm.grep_param_names('rbf_l.*_1') == self.parameter.grep_param_names('rbf_l.*_1'))
+        assert(self.bgplvm.grep_param_names('l') == self.parameter.grep_param_names('l'))
+        assert(self.bgplvm.grep_param_names('dont_match') == self.parameter.grep_param_names('dont_match'))
+        assert(self.bgplvm.grep_param_names('.*') == self.parameter.grep_param_names('.*'))
+
+    def testConstraints(self):
+        assert(self.bgplvm.constraints)
+
+
+if __name__ == "__main__":
+    # import sys;sys.argv = ['', 'Test.testName']
+    unittest.main()