SimonBlanke /
Hyperactive
| @@ 86-109 (lines=24) @@ | ||
| 83 | assert 10 in list(hyper.search_data(experiment)["x1"].values) |
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| 84 | ||
| 85 | ||
| 86 | def test_attributes_results_6(): |
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| 87 | def objective_function(opt): |
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| 88 | score = -opt["x1"] * opt["x1"] |
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| 89 | return score |
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| 90 | ||
| 91 | search_space = { |
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| 92 | "x1": list(np.arange(0, 10, 1)), |
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| 93 | } |
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| 94 | ||
| 95 | hyper = HillClimbingOptimizer() |
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| 96 | hyper.add_search( |
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| 97 | experiment, |
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| 98 | search_config, |
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| 99 | n_iter=20, |
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| 100 | initialize={"random": 1}, |
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| 101 | memory=False, |
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| 102 | ) |
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| 103 | hyper.run() |
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| 104 | ||
| 105 | x1_results = list(hyper.search_data(experiment)["x1"].values) |
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| 106 | ||
| 107 | print("\n x1_results \n", x1_results) |
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| 108 | ||
| 109 | assert len(set(x1_results)) < len(x1_results) |
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| 110 | ||
| 111 | ||
| 112 | def test_attributes_results_7(): |
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| @@ 81-104 (lines=24) @@ | ||
| 78 | assert 10 in list(hyper.search_data(objective_function)["x1"].values) |
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| 79 | ||
| 80 | ||
| 81 | def test_attributes_results_6(): |
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| 82 | def objective_function(opt): |
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| 83 | score = -opt["x1"] * opt["x1"] |
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| 84 | return score |
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| 85 | ||
| 86 | search_space = { |
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| 87 | "x1": list(np.arange(0, 10, 1)), |
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| 88 | } |
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| 89 | ||
| 90 | hyper = Hyperactive() |
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| 91 | hyper.add_search( |
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| 92 | objective_function, |
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| 93 | search_space, |
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| 94 | n_iter=20, |
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| 95 | initialize={"random": 1}, |
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| 96 | memory=False, |
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| 97 | ) |
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| 98 | hyper.run() |
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| 99 | ||
| 100 | x1_results = list(hyper.search_data(objective_function)["x1"].values) |
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| 101 | ||
| 102 | print("\n x1_results \n", x1_results) |
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| 103 | ||
| 104 | assert len(set(x1_results)) < len(x1_results) |
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| 105 | ||
| 106 | ||
| 107 | def test_attributes_results_7(): |
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