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3.1. Cross-validation: evaluating estimator per...
3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3] [0 1]...>>> y = [ 1 , 1 , 1 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/cross_validation.html -
Kernel PCA — scikit-learn 1.7.2 documentation
1 ], c = y_train ) train_ax . set_ylabel ( "Feature #1" )...= make_circles ( n_samples = 1_000 , factor = 0.3 , noise = 0.05...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html -
Displaying Pipelines — scikit-learn 1.7.2 docum...
0001 C 1.0 fit_intercept True intercept_scaling 1 class_weight...0.0001 C 1.0 fit_intercept True intercept_scaling 1 class_weight...scikit-learn.org/stable/auto_examples/miscellaneous/plot_pipeline_display.html -
plot_tree — scikit-learn 1.7.2 documentation
“x[1]”, …). class_names array-like...scikit-learn.org/stable/modules/generated/sklearn.tree.plot_tree.html -
LabelEncoder — scikit-learn 1.7.2 documentation
classes_ array([1, 2, 6]) >>> le . transform ([ 1 , 1 , 2 , 6 ]) array([0,...array([0, 0, 1, 2]...) >>> le . inverse_transform ([ 0 , 0 , 1 , 2 ])...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html -
PassiveAggressiveRegressor — scikit-learn 1.7.2...
default=1.0 Maximum step size (regularization). Defaults to 1.0. fit_intercept...PassiveAggressiveReg ( * , C = 1.0 , fit_intercept = True , max_iter...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html -
3.4. Metrics and scoring: quantifying the quali...
1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,..., 0 , 1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,...scikit-learn.org/stable/modules/model_evaluation.html -
2023年7月1日版との比較
Microsoft 365 株式会社NTTドコモ 2023年7月1日版との比較 Microsoft® Excel® for Microsoft...www.docomo.ne.jp/binary/pdf/utility/privacy/privacy_policy_20230701_hikaku.pdf -
dbscan — scikit-learn 1.7.2 documentation
1, 2, 3, 4]) >>> labels array([ 0, 0, 0, 1, 1, -1]) On this...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/dbscan-function.html -
ExtraTreeRegressor — scikit-learn 1.7.2 documen...
min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0 , max_features = 1.0 ,...max_features=n_features . Changed in version 1.1: The default of max_features...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeRegressor.html