SimonBlanke /
Hyperactive
| @@ 52-67 (lines=16) @@ | ||
| 49 | assert hyper.best_para(experiment)["x1"] in search_config["x1"] |
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| 50 | ||
| 51 | ||
| 52 | def test_search_space_2(): |
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| 53 | search_config = SearchConfig( |
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| 54 | x1=list(np.arange(0, 100, 1)), |
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| 55 | str1=["0", "1", "2"], |
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| 56 | ) |
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| 57 | ||
| 58 | hyper = HillClimbingOptimizer() |
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| 59 | hyper.add_search( |
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| 60 | experiment, |
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| 61 | search_config, |
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| 62 | n_iter=15, |
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| 63 | ) |
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| 64 | hyper.run() |
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| 65 | ||
| 66 | assert isinstance(hyper.search_data(experiment), pd.DataFrame) |
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| 67 | assert hyper.best_para(experiment)["str1"] in search_config["str1"] |
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| 68 | ||
| 69 | ||
| 70 | def test_search_space_3(): |
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| @@ 35-49 (lines=15) @@ | ||
| 32 | assert hyper.best_para(experiment)["x1"] in search_config["x1"] |
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| 33 | ||
| 34 | ||
| 35 | def test_search_space_1(): |
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| 36 | search_config = SearchConfig( |
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| 37 | x1=list(np.arange(0, 0.003, 0.001)), |
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| 38 | ) |
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| 39 | ||
| 40 | hyper = HillClimbingOptimizer() |
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| 41 | hyper.add_search( |
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| 42 | experiment, |
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| 43 | search_config, |
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| 44 | n_iter=15, |
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| 45 | ) |
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| 46 | hyper.run() |
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| 47 | ||
| 48 | assert isinstance(hyper.search_data(experiment), pd.DataFrame) |
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| 49 | assert hyper.best_para(experiment)["x1"] in search_config["x1"] |
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| 50 | ||
| 51 | ||
| 52 | def test_search_space_2(): |
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| @@ 18-32 (lines=15) @@ | ||
| 15 | experiment = Experiment() |
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| 16 | ||
| 17 | ||
| 18 | def test_search_space_0(): |
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| 19 | search_config = SearchConfig( |
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| 20 | x1=list(np.arange(0, 3, 1)), |
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| 21 | ) |
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| 22 | ||
| 23 | hyper = HillClimbingOptimizer() |
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| 24 | hyper.add_search( |
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| 25 | experiment, |
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| 26 | search_config, |
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| 27 | n_iter=15, |
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| 28 | ) |
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| 29 | hyper.run() |
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| 30 | ||
| 31 | assert isinstance(hyper.search_data(experiment), pd.DataFrame) |
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| 32 | assert hyper.best_para(experiment)["x1"] in search_config["x1"] |
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| 33 | ||
| 34 | ||
| 35 | def test_search_space_1(): |
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