SimonBlanke /
Hyperactive
| @@ 99-118 (lines=20) @@ | ||
| 96 | hyper1.run() |
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| 97 | ||
| 98 | ||
| 99 | @pytest.mark.parametrize("smbo_opt", smbo_opts) |
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| 100 | def test_warm_start_smbo_1(smbo_opt): |
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| 101 | hyper0 = Hyperactive(distribution="pathos") |
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| 102 | hyper0.add_search( |
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| 103 | _objective_function, |
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| 104 | search_space, |
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| 105 | n_iter=n_iter, |
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| 106 | n_jobs=2, |
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| 107 | initialize=initialize, |
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| 108 | ) |
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| 109 | hyper0.run() |
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| 110 | ||
| 111 | search_data0 = hyper0.search_data(_objective_function) |
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| 112 | smbo_opt_ = smbo_opt(warm_start_smbo=search_data0) |
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| 113 | ||
| 114 | hyper1 = Hyperactive() |
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| 115 | hyper1.add_search( |
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| 116 | _objective_function, search_space, n_iter=n_iter, optimizer=smbo_opt_ |
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| 117 | ) |
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| 118 | hyper1.run() |
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| 119 | ||
| 120 | ||
| 121 | @pytest.mark.parametrize("smbo_opt", smbo_opts) |
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| @@ 142-160 (lines=19) @@ | ||
| 139 | hyper1.run() |
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| 140 | ||
| 141 | ||
| 142 | @pytest.mark.parametrize("smbo_opt", smbo_opts) |
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| 143 | def test_warm_start_smbo_3(smbo_opt): |
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| 144 | hyper0 = Hyperactive(distribution="pathos") |
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| 145 | hyper0.add_search(_objective_function, search_space, n_iter=n_iter, n_jobs=2) |
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| 146 | hyper0.run() |
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| 147 | ||
| 148 | search_data0 = hyper0.search_data(_objective_function) |
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| 149 | smbo_opt_ = smbo_opt(warm_start_smbo=search_data0) |
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| 150 | ||
| 151 | hyper1 = Hyperactive(distribution="joblib") |
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| 152 | hyper1.add_search( |
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| 153 | _objective_function, |
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| 154 | search_space, |
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| 155 | n_iter=n_iter, |
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| 156 | n_jobs=2, |
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| 157 | optimizer=smbo_opt_, |
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| 158 | initialize=initialize, |
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| 159 | ) |
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| 160 | hyper1.run() |
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| 161 | ||
| @@ 121-139 (lines=19) @@ | ||
| 118 | hyper1.run() |
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| 119 | ||
| 120 | ||
| 121 | @pytest.mark.parametrize("smbo_opt", smbo_opts) |
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| 122 | def test_warm_start_smbo_2(smbo_opt): |
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| 123 | hyper0 = Hyperactive() |
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| 124 | hyper0.add_search(_objective_function, search_space, n_iter=n_iter) |
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| 125 | hyper0.run() |
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| 126 | ||
| 127 | search_data0 = hyper0.search_data(_objective_function) |
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| 128 | smbo_opt_ = smbo_opt(warm_start_smbo=search_data0) |
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| 129 | ||
| 130 | hyper1 = Hyperactive(distribution="joblib") |
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| 131 | hyper1.add_search( |
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| 132 | _objective_function, |
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| 133 | search_space, |
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| 134 | n_iter=n_iter, |
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| 135 | n_jobs=2, |
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| 136 | optimizer=smbo_opt_, |
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| 137 | initialize=initialize, |
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| 138 | ) |
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| 139 | hyper1.run() |
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| 140 | ||
| 141 | ||
| 142 | @pytest.mark.parametrize("smbo_opt", smbo_opts) |
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