SimonBlanke /
Gradient-Free-Optimizers
| @@ 52-64 (lines=13) @@ | ||
| 49 | ) |
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| 50 | ||
| 51 | ||
| 52 | @pytest.mark.parametrize(*optimizers) |
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| 53 | def test_early_stop_2(Optimizer): |
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| 54 | early_stopping = { |
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| 55 | "n_iter_no_change": 5, |
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| 56 | "tol_abs": 0.1, |
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| 57 | "tol_rel": None, |
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| 58 | } |
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| 59 | ||
| 60 | opt = Optimizer(search_space, initialize={"warm_start": [{"x1": 0}], "random": 1}) |
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| 61 | opt.search( |
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| 62 | objective_function, |
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| 63 | n_iter=1000, |
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| 64 | early_stopping=early_stopping, |
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| 65 | ) |
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| 66 | ||
| 67 | ||
| @@ 36-48 (lines=13) @@ | ||
| 33 | ) |
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| 34 | ||
| 35 | ||
| 36 | @pytest.mark.parametrize(*optimizers) |
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| 37 | def test_early_stop_1(Optimizer): |
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| 38 | early_stopping = { |
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| 39 | "n_iter_no_change": 5, |
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| 40 | "tol_abs": None, |
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| 41 | "tol_rel": 5, |
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| 42 | } |
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| 43 | ||
| 44 | opt = Optimizer(search_space, initialize={"warm_start": [{"x1": 0}], "random": 1}) |
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| 45 | opt.search( |
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| 46 | objective_function, |
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| 47 | n_iter=1000, |
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| 48 | early_stopping=early_stopping, |
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| 49 | ) |
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| 50 | ||
| 51 | ||
| @@ 20-32 (lines=13) @@ | ||
| 17 | } |
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| 18 | ||
| 19 | ||
| 20 | @pytest.mark.parametrize(*optimizers) |
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| 21 | def test_early_stop_0(Optimizer): |
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| 22 | early_stopping = { |
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| 23 | "n_iter_no_change": 5, |
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| 24 | "tol_abs": 0.1, |
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| 25 | "tol_rel": 0.1, |
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| 26 | } |
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| 27 | ||
| 28 | opt = Optimizer(search_space, initialize={"warm_start": [{"x1": 0}], "random": 1}) |
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| 29 | opt.search( |
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| 30 | objective_function, |
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| 31 | n_iter=1000, |
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| 32 | early_stopping=early_stopping, |
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| 33 | ) |
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| 34 | ||
| 35 | ||
