How to use _optimize method in avocado

Best Python code snippet using avocado_python Github


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...20 def setUp(self):21 super().setUp()22 np.random.seed(50)23 pass24 def _optimize(self, optimizer):25 x0 = [1.3, 0.7, 0.8, 1.9, 1.2]26 res = optimizer.optimize(len(x0), rosen, initial_point=x0)27 np.testing.assert_array_almost_equal(res[0], [1.0] * len(x0), decimal=2)28 return res29 def test_adam(self):30 optimizer = ADAM(maxiter=10000, tol=1e-06)31 res = self._optimize(optimizer)32 self.assertLessEqual(res[2], 10000)33 def test_cg(self):34 optimizer = CG(maxiter=1000, tol=1e-06)35 res = self._optimize(optimizer)36 self.assertLessEqual(res[2], 10000)37 def test_cobyla(self):38 optimizer = COBYLA(maxiter=100000, tol=1e-06)39 res = self._optimize(optimizer)40 self.assertLessEqual(res[2], 100000)41 def test_l_bfgs_b(self):42 optimizer = L_BFGS_B(maxfun=1000)43 res = self._optimize(optimizer)44 self.assertLessEqual(res[2], 10000)45 def test_nelder_mead(self):46 optimizer = NELDER_MEAD(maxfev=10000, tol=1e-06)47 res = self._optimize(optimizer)48 self.assertLessEqual(res[2], 10000)49 def test_powell(self):50 optimizer = POWELL(maxfev=10000, tol=1e-06)51 res = self._optimize(optimizer)52 self.assertLessEqual(res[2], 10000)53 def test_slsqp(self):54 optimizer = SLSQP(maxiter=1000, tol=1e-06)55 res = self._optimize(optimizer)56 self.assertLessEqual(res[2], 10000)57 @unittest.skip("Skipping SPSA as it does not do well on non-convex rozen")58 def test_spsa(self):59 optimizer = SPSA(max_trials=10000)60 res = self._optimize(optimizer)61 self.assertLessEqual(res[2], 100000)62 def test_tnc(self):63 optimizer = TNC(maxiter=1000, tol=1e-06)64 res = self._optimize(optimizer)65 self.assertLessEqual(res[2], 10000)66if __name__ == '__main__':...

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