Conditions | 1 |
Total Lines | 9 |
Code Lines | 7 |
Lines | 0 |
Ratio | 0 % |
Changes | 0 |
1 | from sklearn.model_selection import cross_val_score |
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12 | def gbc_(para, X, y): |
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13 | model = GradientBoostingClassifier( |
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14 | n_estimators=para["n_estimators"], |
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15 | max_depth=para["max_depth"], |
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16 | min_samples_split=para["min_samples_split"], |
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17 | ) |
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18 | scores = cross_val_score(model, X, y) |
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19 | |||
20 | return scores.mean() |
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21 | |||
36 |