| /dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/ensemble/ |
| H A D | plot_isolation_forest.py | 42 clf = IsolationForest(max_samples=100, random_state=rng) variable
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/miscellaneous/ |
| H A D | plot_isotonic_regression.py | 35 x = np.arange(n)
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/semi_supervised/ |
| H A D | plot_semi_supervised_versus_svm_iris.py | 75 plt.subplot(3, 2, i + 1)
76 Z = clf.predict(np.c_[xx.ravel(), yy.ravel()])
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/neighbors/ |
| H A D | plot_classification.py | 35 clf = neighbors.KNeighborsClassifier(n_neighbors, weights=weights) variable
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| H A D | plot_regression.py | 34 n_neighbors = 5
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| H A D | plot_lof_novelty_detection.py | 46 clf = LocalOutlierFactor(n_neighbors=20, novelty=True, contamination=0.1) variable
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/metrics/_plot/tests/ |
| H A D | test_plot_roc_curve.py | 121 def test_roc_curve_not_fitted_errors(pyplot, data_binary, clf): argument
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/svm/ |
| H A D | plot_separating_hyperplane_unbalanced.py | 47 clf = svm.SVC(kernel="linear", C=1.0) variable
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| H A D | plot_svm_margin.py | 37 clf = svm.SVC(kernel="linear", C=penalty) variable
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| H A D | plot_oneclass.py | 30 clf = svm.OneClassSVM(nu=0.1, kernel="rbf", gamma=0.1) variable
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/linear_model/ |
| H A D | plot_ols_3d.py | 38 def plot_figs(fig_num, elev, azim, X_train, clf): argument
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| H A D | plot_ard.py | 56 clf = ARDRegression(compute_score=True) variable
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| H A D | plot_theilsen.py | 55 # #############################################################################
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| H A D | plot_bayesian_ridge.py | 53 clf = BayesianRidge(compute_score=True) variable
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| /dports/math/R-cran-igraph/igraph/tests/testthat/ |
| H A D | test_graphlets.R | 78 clf <- clu[sapply(clu, length) != 1] functionVar
109 clf <- cliques functionVar
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/model_selection/ |
| H A D | plot_permutation_tests_for_classification.py | 65 clf = SVC(kernel="linear", random_state=7) variable
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| H A D | plot_successive_halving_heatmap.py | 37 clf = SVC(random_state=rng) variable
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/exercises/ |
| H A D | plot_iris_exercise.py | 38 clf = svm.SVC(kernel=kernel, gamma=10) variable
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| /dports/emulators/ppsspp-qt5/ppsspp-1.12.3/Common/Net/ |
| H A D | WebsocketServer.cpp | 62 for (auto item : split) { in plot_contours()
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| /dports/java/openjdk16/jdk16u-jdk-16.0.2-7-1/src/java.base/share/classes/jdk/internal/module/ |
| H A D | ModuleLoaderMap.java | 136 public static boolean isBuiltinMapper(Function<String, ClassLoader> clf) { in isBuiltinMapper()
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| /dports/java/openjdk17/jdk17u-jdk-17.0.1-12-1/src/java.base/share/classes/jdk/internal/module/ |
| H A D | ModuleLoaderMap.java | 136 public static boolean isBuiltinMapper(Function<String, ClassLoader> clf) { in isBuiltinMapper()
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| /dports/java/openjdk15/jdk15u-jdk-15.0.6-1-1/src/java.base/share/classes/jdk/internal/module/ |
| H A D | ModuleLoaderMap.java | 136 public static boolean isBuiltinMapper(Function<String, ClassLoader> clf) { in isBuiltinMapper()
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/inspection/ |
| H A D | plot_permutation_importance_multicollinear.py | 43 clf = RandomForestClassifier(n_estimators=100, random_state=42) variable
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/utils/ |
| H A D | multiclass.py | 333 def _check_partial_fit_first_call(clf, classes=None): argument
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| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/examples/l1_demo/ |
| H A D | sklearn_compare.py | 66 clf = linear_model.LogisticRegression( variable
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