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5. Visualizations — scikit-learn 1.6.1 document...
y = load_wine ( return_X_y = True ) y = y == 2 # make...y_test = train_test_split ( X , y , random_state = 42 ) svc = SVC...scikit-learn.org/stable/visualizations.html -
Gradient Boosting regularization — scikit-learn...
test_size = 0.8 , random_state = 0 ) original_params = { "n_estimators"...color = color , label = label , ) plt . legend ( loc = "upper...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html -
MLPClassifier — scikit-learn 1.6.1 documentation
learning_rate_init = 0.001 , power_t = 0.5 , max_iter = 200 , shuffle = True...random_state = None , tol = 0.0001 , verbose = False , warm_start = False...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html -
Label Propagation digits: Demonstrating perform...
n_total_samples = len ( y ) n_labeled_points = 40 indices = np . arange...lp_model = LabelSpreading ( gamma = 0.25 , max_iter = 20 ) lp_model...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits.html -
jaccard_score — scikit-learn 1.6.1 documentation
labels = None , pos_label = 1 , average = 'binary' , sample_weight...sample_weight = None , zero_division = 'warn' ) [source] # Jaccard...scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html -
SkewedChi2Sampler — scikit-learn 1.6.1 document...
skewedness = 1.0 , n_components = 100 , random_state = None ) [source]...n_components = 10 , ... random_state = 0 ) >>> X_features = chi2_feature...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.SkewedChi2Sampler.html -
外だしSQLのタイトル (OutsideSqlTitle) | DBFlute
[df-outside-sql-test] /= = = = = = = = = = = = = = = = = = = [df-outside-sql-test]...[df-outside-sql-test] = = = = = = = = = = / dfpropによるON/OFF DBFlute-1.0.x...dbflute.seasar.org/ja/manual/function/genbafit/dbflutefit/outsidesqltitle/index.html -
ARDRegression — scikit-learn 1.6.1 documentation
max_iter = 300 , tol = 0.001 , alpha_1 = 1e-06 , alpha_2 = 1e-06...lambda_1 = 1e-06 , lambda_2 = 1e-06 , compute_score = False ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
PLSRegression — scikit-learn 1.6.1 documentation
n_components = 2 , * , scale = True , max_iter = 500 , tol = 1e-06 ,...transform ( X , y = None , Y = None , copy = True ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html -
about.rst.txt
_about: ======== About us ======== History ======= This project...contribution. Governance ========== The decision making process...scikit-learn.org/stable/_sources/about.rst.txt