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Plot the support vectors in LinearSVC — scikit-...
clf = LinearSVC ( C = C , loss = "hinge" , random_state = 42 )...1 ], c = y , s = 30 , cmap = plt . cm . Paired ) ax = plt . gca...scikit-learn.org/stable/auto_examples/svm/plot_linearsvc_support_vectors.html -
相対的な日付調整 (DateAdjustment) | DBFlute
dateAdjustmentMap = map: { # ; df:originDate = 2013/03/09 # ; $$ALL$$ = map:{...$$ALL$$ = addDay($distance) # } # ; MEMBER = map:{ BIRTHDATE = addDay(0)...dbflute.seasar.org/ja/manual/function/generator/task/replaceschema/dateadjustment.html -
Post pruning decision trees with cost complexit...
y_test = train_test_split ( X , y , random_state = 0 ) clf = DecisionTreeClassifi...train_scores , marker = "o" , label = "train" , drawstyle = "steps-post"...scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html -
SpectralBiclustering — scikit-learn 1.7.0 docum...
n_clusters = 3 , * , method = 'bistochastic' , n_components = 6 , n_best...n_best = 3 , svd_method = 'randomized' , n_svd_vecs = None ,...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralBiclustering.html -
5.1. Partial Dependence and Individual Conditio...
y = make_hastie_10_2 ( random_state = 0 ) >>> clf = GradientBoostingClas...n_estimators = 100 , learning_rate = 1.0 , ... max_depth = 1 , random_state...scikit-learn.org/stable/modules/partial_dependence.html -
roc_auc_score — scikit-learn 1.7.0 documentation
average = 'macro' , sample_weight = None , max_fpr = None , multi_class..., y = load_breast_cancer ( return_X_y = True ) >>> clf = LogisticRegression...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
LeavePGroupsOut — scikit-learn 1.7.0 documentation
Train: index=[2], group=[3] Test: index=[0 1], group=[1 2] Fold...Train: index=[1], group=[2] Test: index=[0 2], group=[1 3] Fold...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html -
PolynomialCountSketch — scikit-learn 1.7.0 docu...
gamma = 1.0 , degree = 2 , coef0 = 0 , n_components = 100 , random_state...>>> ps = PolynomialCountSketc ( degree = 3 , random_state = 1 )...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html -
Nystroem — scikit-learn 1.7.0 documentation
kernel = 'rbf' , * , gamma = None , coef0 = None , degree = None...kernel_params = None , n_components = 100 , random_state = None , n_jobs...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.Nystroem.html -
FastICA on 2D point clouds — scikit-learn 1.7.0...
marker = "o" , zorder = 10 , color = "steelblue" , alpha = 0.5 )..., zorder = 11 , width = 0.01 , scale = 6 , color = color , label...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_vs_pca.html