| /dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/ensemble/_hist_gradient_boosting/tests/ |
| H A D | test_compare_lightgbm.py | 22 def test_same_predictions_regression(seed, min_samples_leaf, n_samples, max_leaf_nodes): argument
100 seed, min_samples_leaf, n_samples, max_leaf_nodes argument
172 seed, min_samples_leaf, n_samples, max_leaf_nodes argument
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| H A D | test_grower.py | 224 def test_min_samples_leaf(n_samples, min_samples_leaf, n_bins, constant_hessian, noise): argument
261 def test_min_samples_leaf_root(n_samples, min_samples_leaf): argument
516 def test_ohe_equivalence(min_samples_leaf, n_unique_categories, target): argument
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/tree/ |
| H A D | _classes.py | 103 min_samples_leaf, argument
875 min_samples_leaf=1, argument
1256 min_samples_leaf=1, argument
1592 min_samples_leaf=1, argument
1828 min_samples_leaf=1, argument
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| H A D | _splitter.pyx | 58 SIZE_t min_samples_leaf, double min_weight_leaf,
778 SIZE_t min_samples_leaf, double min_weight_leaf,
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| H A D | _tree.pyx | 122 SIZE_t min_samples_leaf, double min_weight_leaf,
287 SIZE_t min_samples_leaf, min_weight_leaf,
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| /dports/misc/orange3/orange3-3.29.1/Orange/regression/ |
| H A D | tree.py | 55 binarize=False, min_samples_leaf=1, min_samples_split=2, argument
189 min_samples_split=2, min_samples_leaf=1, argument
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| H A D | random_forest.py | 47 min_samples_leaf=1, argument
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| H A D | gb.py | 34 min_samples_leaf=1, argument
|
| /dports/misc/orange3/orange3-3.29.1/Orange/classification/ |
| H A D | tree.py | 60 min_samples_leaf=1, min_samples_split=2, sufficient_majority=0.95, argument
238 min_samples_split=2, min_samples_leaf=1, argument
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| H A D | random_forest.py | 47 min_samples_leaf=1, argument
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| H A D | gb.py | 34 min_samples_leaf=1, argument
|
| /dports/science/py-scikit-optimize/scikit-optimize-0.9.0/skopt/learning/ |
| H A D | forest.py | 198 min_samples_split=2, min_samples_leaf=1, argument
394 min_samples_split=2, min_samples_leaf=1, argument
|
| /dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/ensemble/_hist_gradient_boosting/ |
| H A D | grower.py | 194 min_samples_leaf=20, argument
314 min_samples_leaf, argument
|
| H A D | gradient_boosting.py | 43 min_samples_leaf, argument
1213 min_samples_leaf=20, argument
1521 min_samples_leaf=20, argument
|
| /dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/ensemble/ |
| H A D | _forest.py | 1359 min_samples_leaf=1, argument
1681 min_samples_leaf=1, argument
2007 min_samples_leaf=1, argument
2312 min_samples_leaf=1, argument
2548 min_samples_leaf=1, argument
|
| H A D | _gb.py | 150 min_samples_leaf, argument
1228 min_samples_leaf=1, argument
1806 min_samples_leaf=1, argument
|
| /dports/science/py-GPyOpt/GPyOpt-1.2.6/GPyOpt/models/ |
| H A D | rfmodel.py | 20 max_features='auto', max_leaf_nodes=None, min_samples_leaf=1, argument
|