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/dports/misc/py-xgboost/xgboost-1.5.1/R-package/R/
H A Dxgb.importance.R84 xgb.importance <- function(feature_names = NULL, model = NULL, trees = NULL, argument
102 args <- list(importance_type = "weight", feature_names = feature_names) nameattr
119 … args <- list(importance_type = importance_type, feature_names = feature_names, tree_idx = trees) globalVar
H A Dxgb.model.dt.tree.R64 xgb.model.dt.tree <- function(feature_names = NULL, model = NULL, text = NULL, argument
/dports/misc/xgboost/xgboost-1.5.1/R-package/R/
H A Dxgb.importance.R84 xgb.importance <- function(feature_names = NULL, model = NULL, trees = NULL, argument
102 args <- list(importance_type = "weight", feature_names = feature_names) nameattr
119 … args <- list(importance_type = importance_type, feature_names = feature_names, tree_idx = trees) globalVar
H A Dxgb.model.dt.tree.R64 xgb.model.dt.tree <- function(feature_names = NULL, model = NULL, text = NULL, argument
/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/inspection/
H A Dplot_permutation_importance.py125 feature_names = ohe.get_feature_names_out(categorical_columns) variable
126 feature_names = np.r_[feature_names, numerical_columns] variable
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/tree/
H A D_export.py82 feature_names=None, argument
202 feature_names=None, argument
388 feature_names=None, argument
577 feature_names=None, argument
746 feature_names=None, argument
926 feature_names=None, argument
/dports/devel/pycharm-pro/pycharm-2020.2.3/plugins/python/helpers/pycharm/
H A D_jb_django_behave.py9 def run_as_django_behave(formatter_name, feature_names, scenario_n_options): argument
/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/text/
H A Dplot_document_classification_20newsgroups.py196 feature_names = None variable
208 feature_names = feature_names[ch2.get_support()] variable
/dports/net-mgmt/p5-jmx4perl/jmx4perl-1.11_2/inc/Module-Build/Module/Build/
H A DConfigData.pm15 sub feature_names { subroutine
H A DNotes.pm134 sub feature_names { subroutine
/dports/devel/p5-Alien-Build/Alien-Build-2.45/corpus/lib/Alien/Foo1/
H A DConfigData.pm15 sub feature_names { subroutine
/dports/devel/p5-Alien-Build/Alien-Build-2.45/corpus/lib/Alien/Foo2/
H A DConfigData.pm15 sub feature_names { subroutine
/dports/science/p5-Algorithm-SVMLight/Algorithm-SVMLight-0.09/lib/Algorithm/
H A DSVMLight.pm76 sub feature_names { subroutine
/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/preprocessing/
H A Dplot_discretization.py68 ax2.plot(
69 line,
/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/decomposition/
H A Dplot_varimax_fa.py33 feature_names = data["feature_names"] variable
/dports/science/py-chainer-chemistry/chainer-chemistry-0.7.1/chainer_chemistry/saliency/visualizer/
H A Dtable_visualizer.py12 def visualize(self, saliency, feature_names=None, save_filepath=None, argument
/dports/www/chromium-legacy/chromium-88.0.4324.182/chromecast/browser/
H A Dcast_feature_list_creator.cc24 std::vector<std::string> feature_names; in FeatureVectorToString() local
/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/ensemble/
H A Dplot_forest_importances_faces.py44 from sklearn.ensemble import RandomForestClassifier
/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/feature_selection/
H A Dplot_select_from_model_diabetes.py53 feature_names = np.array(diabetes.feature_names) variable
/dports/textproc/py-nltk/nltk-3.4.1/nltk/classify/
H A Ddecisiontree.py256 def best_stump(feature_names, labeled_featuresets, verbose=False): argument
300 feature_names, labeled_featuresets, feature_values, verbose=False argument
/dports/multimedia/vmaf/vmaf-2.3.0/model/vmaf_4k_rb_v0.6.2/
H A Dvmaf_4k_rb_v0.6.2.json30 "feature_names": [ array
88 "feature_names": [ array
146 "feature_names": [ array
204 "feature_names": [ array
262 "feature_names": [ array
320 "feature_names": [ array
378 "feature_names": [ array
436 "feature_names": [ array
494 "feature_names": [ array
552 "feature_names": [ array
[all …]
/dports/mail/notmuch/notmuch-0.34.2/lib/
H A Dfeatures.cc12 } feature_names[] = { variable
/dports/mail/notmuch-emacs/notmuch-0.34.2/lib/
H A Dfeatures.cc12 } feature_names[] = { variable
/dports/mail/py-notmuch2/notmuch-0.34.2/lib/
H A Dfeatures.cc12 } feature_names[] = { variable
/dports/mail/py-notmuch/notmuch-0.34.2/lib/
H A Dfeatures.cc12 } feature_names[] = { variable

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