SimonBlanke /
Hyperactive
| @@ 56-68 (lines=13) @@ | ||
| 53 | return scores.mean() |
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| 54 | ||
| 55 | ||
| 56 | def model_gbc(opt): |
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| 57 | gbc = GradientBoostingClassifier( |
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| 58 | n_estimators=opt["n_estimators"], |
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| 59 | learning_rate=opt["learning_rate"], |
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| 60 | max_depth=opt["max_depth"], |
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| 61 | min_samples_split=opt["min_samples_split"], |
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| 62 | min_samples_leaf=opt["min_samples_leaf"], |
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| 63 | subsample=opt["subsample"], |
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| 64 | max_features=opt["max_features"], |
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| 65 | ) |
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| 66 | scores = cross_val_score(gbc, X, y, cv=3) |
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| 67 | ||
| 68 | return scores.mean() |
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| 69 | ||
| 70 | ||
| 71 | search_space_etc = { |
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| @@ 42-54 (lines=13) @@ | ||
| 39 | return scores.mean() |
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| 40 | ||
| 41 | ||
| 42 | def model_gbc(opt): |
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| 43 | gbc = GradientBoostingClassifier( |
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| 44 | n_estimators=opt["n_estimators"], |
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| 45 | learning_rate=opt["learning_rate"], |
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| 46 | max_depth=opt["max_depth"], |
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| 47 | min_samples_split=opt["min_samples_split"], |
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| 48 | min_samples_leaf=opt["min_samples_leaf"], |
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| 49 | subsample=opt["subsample"], |
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| 50 | max_features=opt["max_features"], |
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| 51 | ) |
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| 52 | scores = cross_val_score(gbc, X, y, cv=3) |
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| 53 | ||
| 54 | return scores.mean() |
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| 55 | ||
| 56 | ||
| 57 | search_space_etc = { |
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| @@ 32-44 (lines=13) @@ | ||
| 29 | return scores.mean() |
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| 30 | ||
| 31 | ||
| 32 | def model_gbc(opt): |
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| 33 | gbc = GradientBoostingClassifier( |
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| 34 | n_estimators=opt["n_estimators"], |
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| 35 | learning_rate=opt["learning_rate"], |
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| 36 | max_depth=opt["max_depth"], |
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| 37 | min_samples_split=opt["min_samples_split"], |
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| 38 | min_samples_leaf=opt["min_samples_leaf"], |
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| 39 | subsample=opt["subsample"], |
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| 40 | max_features=opt["max_features"], |
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| 41 | ) |
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| 42 | scores = cross_val_score(gbc, X, y, cv=3) |
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| 43 | ||
| 44 | return scores.mean() |
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| 45 | ||
| 46 | ||
| 47 | search_space_rfc = { |
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