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Contributing — scikit-learn 1.7.2 documentation
( n_clusters = 8 , k = "deprecated" ): if k != "deprecated" :...n_clusters = 8 , k = 'deprecated' ): self . n_clusters = n_clusters...scikit-learn.org/stable/developers/contributing.html -
plot_discretization_strategies.zip
py """ ========== Demonstrating the different...strategies of KBinsDiscretizer ========== This example presents the...scikit-learn.org/stable/_downloads/7b16734166ab4280e940d7fb89dd6113/plot_discretization_strategie... -
自動採番 | DBFlute
PURCHASE = SEQ_PURCHASE ; MEMBER = SEQ_MEMBER ; MEMBER_LOGIN = SEQ_MEMBER_LOGIN...{MEMBER_ID} @Java Member member = new Member(); // you don't need...dbflute.seasar.org/ja/manual/function/genbafit/implfit/autoincrement/index.html -
Multiclass Receiver Operating Characteristic (R...
pair_list ): a_mask = y_test == label_a b_mask = y_test == label_b ab_mask...plot_chance_level = ( class_id == 2 ), despine = True , ) _ = ax . set...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
Classifier comparison — scikit-learn 1.7.2 docu...
C = 0.025 , random_state = 42 ), SVC ( gamma = 2 , C = 1 ,...clf , X , cmap = cm , alpha = 0.8 , ax = ax , eps = 0.5 ) # Plot...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
ensemble.rst.txt
calculated as follows: ========== ========== ========== ==========..... _ensemble: ========== Ensembles: Gradient boosting, random...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
GMM covariances — scikit-learn 1.7.2 documentation
bottom = 0.01 , top = 0.95 , hspace = 0.15 , wspace = 0.05 ,...scatterpoints = 1 , loc = "lower right" , prop = dict ( size = 12 ))...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
Probability Calibration for 3-class classificat...
y = make_blobs ( n_samples = 2000 , n_features = 2 , centers...centers = 3 , random_state = 42 , cluster_std = 5.0 ) X_train ,...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html -
auto_examples_jupyter.zip
pace=0.01, wspace=0.01, top=1, bottom=0, left=0, right=1)\n\nplt.show()"...plt.subplots_adjust(bottom=0, left=0.01, right=0.99, top=0.90, hspace=0.35)\n for...scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip -
Feature discretization — scikit-learn 1.7.2 doc...
size = 15 , bbox = dict ( boxstyle = "round" , alpha = 0.8 ,...): name = estimator . __class__ . __name__ if name == "Pipeline"...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html