/dports/science/py-nilearn/nilearn-0.8.1/nilearn/decoding/ |
H A D | decoder.py | 65 def _check_param_grid(estimator, X, y, param_grid=None): argument 154 def _parallel_fit(estimator, X, y, train, test, param_grid, is_classification, argument 330 def __init__(self, estimator='svc', mask=None, cv=10, param_grid=None, argument 867 def __init__(self, estimator='svc', mask=None, cv=10, param_grid=None, argument 975 def __init__(self, estimator='svr', mask=None, cv=10, param_grid=None, argument 1093 def __init__(self, estimator='svr', mask=None, cv=30, param_grid=None, argument 1218 param_grid=None, clustering_percentile=10, argument
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/compose/ |
H A D | plot_feature_union.py | 54 param_grid = dict( variable
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H A D | plot_digits_pipe.py | 41 param_grid = { variable
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H A D | plot_compare_reduction.py | 49 param_grid = [ variable
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H A D | plot_column_transformer_mixed_types.py | 175 param_grid = { variable
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/neighbors/ |
H A D | plot_caching_nearest_neighbors.py | 49 param_grid = {"classifier__n_neighbors": n_neighbors_list} variable
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/model_selection/ |
H A D | plot_randomized_search.py | 78 param_grid = { variable
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H A D | plot_grid_search_refit_callable.py | 88 param_grid = {"reduce_dim__n_components": [6, 8, 10, 12, 14]} variable
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H A D | plot_successive_halving_heatmap.py | 35 param_grid = {"gamma": gammas, "C": Cs} variable
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H A D | plot_grid_search_stats.py | 41 param_grid = [ variable
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/miscellaneous/ |
H A D | plot_pipeline_display.py | 184 param_grid = { variable
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/dports/science/py-nilearn/nilearn-0.8.1/examples/07_advanced/ |
H A D | plot_age_group_prediction_cross_val.py | 58 param_grid = [ variable
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/svm/ |
H A D | plot_svm_scale_c.py | 133 param_grid = dict(C=cs) variable
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H A D | plot_rbf_parameters.py | 140 param_grid = dict(gamma=gamma_range, C=C_range) variable
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/model_selection/ |
H A D | _search_successive_halving.py | 95 self.random_state = random_state 324 if self.aggressive_elimination:
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H A D | _split.py | 683 # Determine the optimal number of samples from each class in each fold,
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/dports/lang/gcc10/gcc-10.3.0/gotools/ |
H A D | Makefile.am | 91 …echo 'func defaultCC(goos, goarch string) string { return "$(GCC_INSTALL_NAME)" }' >> zdefaultcc.g…
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/ensemble/ |
H A D | plot_gradient_boosting_quantile.py | 240 param_grid = dict( variable
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/dports/net/wireshark/wireshark-3.6.1/ui/qt/ |
H A D | multicast_statistics_dialog.cpp | 199 QGridLayout *param_grid = new QGridLayout(); in MulticastStatisticsDialog() local
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/dports/net/tshark/wireshark-3.6.1/ui/qt/ |
H A D | multicast_statistics_dialog.cpp | 199 QGridLayout *param_grid = new QGridLayout(); in MulticastStatisticsDialog() local
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/dports/net/tshark-lite/wireshark-3.6.1/ui/qt/ |
H A D | multicast_statistics_dialog.cpp | 199 QGridLayout *param_grid = new QGridLayout(); in MulticastStatisticsDialog() local
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/utils/tests/ |
H A D | test_pprint.py | 79 param_grid, argument
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/model_selection/tests/ |
H A D | test_search.py | 1852 def fit_grid(param_grid): argument
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