SimonBlanke /
Gradient-Free-Optimizers
| @@ 38-65 (lines=28) @@ | ||
| 35 | assert -500 < score_mean |
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| 36 | ||
| 37 | ||
| 38 | @pytest.mark.parametrize(*optimizers_SBOM) |
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| 39 | def test_convex_convergence_SBOM(Optimizer): |
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| 40 | def objective_function(para): |
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| 41 | score = -para["x1"] * para["x1"] |
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| 42 | return score |
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| 43 | ||
| 44 | search_space = {"x1": np.arange(-33, 33, 1)} |
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| 45 | initialize = {"vertices": 2} |
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| 46 | ||
| 47 | n_opts = 10 |
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| 48 | ||
| 49 | scores = [] |
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| 50 | for rnd_st in tqdm(range(n_opts)): |
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| 51 | opt = Optimizer(search_space) |
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| 52 | opt.search( |
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| 53 | objective_function, |
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| 54 | n_iter=30, |
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| 55 | random_state=rnd_st, |
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| 56 | memory=False, |
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| 57 | verbosity={"print_results": False, "progress_bar": False}, |
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| 58 | initialize=initialize, |
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| 59 | ) |
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| 60 | ||
| 61 | scores.append(opt.best_score) |
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| 62 | score_mean = np.array(scores).mean() |
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| 63 | print("scores", scores) |
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| 64 | ||
| 65 | assert -500 < score_mean |
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| 66 | ||
| 67 | ||
| @@ 8-35 (lines=28) @@ | ||
| 5 | from ._parametrize import optimizers_noSBOM, optimizers_SBOM |
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| 6 | ||
| 7 | ||
| 8 | @pytest.mark.parametrize(*optimizers_noSBOM) |
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| 9 | def test_convex_convergence_noSBOM(Optimizer): |
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| 10 | def objective_function(para): |
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| 11 | score = -para["x1"] * para["x1"] |
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| 12 | return score |
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| 13 | ||
| 14 | search_space = {"x1": np.arange(-33, 33, 1)} |
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| 15 | initialize = {"vertices": 2} |
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| 16 | ||
| 17 | n_opts = 33 |
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| 18 | ||
| 19 | scores = [] |
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| 20 | for rnd_st in tqdm(range(n_opts)): |
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| 21 | opt = Optimizer(search_space) |
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| 22 | opt.search( |
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| 23 | objective_function, |
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| 24 | n_iter=50, |
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| 25 | random_state=rnd_st, |
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| 26 | memory=False, |
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| 27 | verbosity={"print_results": False, "progress_bar": False}, |
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| 28 | initialize=initialize, |
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| 29 | ) |
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| 30 | ||
| 31 | scores.append(opt.best_score) |
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| 32 | score_mean = np.array(scores).mean() |
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| 33 | print("scores", scores) |
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| 34 | ||
| 35 | assert -500 < score_mean |
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| 36 | ||
| 37 | ||
| 38 | @pytest.mark.parametrize(*optimizers_SBOM) |
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