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Comparison of the K-Means and MiniBatchKMeans c...
2f s \n inertia: %f " % ( t_batch , k_means . inertia_..."train time: %.2f s \n inertia: %f " % ( t_mini_batch , mbk . inertia_...scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html -
Comparing Random Forests and Histogram Gradient...
print ( f "The dataset consists of { n_samples...only_physical_cores = True ) print ( f "Number of physical cores: { N_CORES...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html -
validation_curve — scikit-learn 1.7.2 documenta...
) >>> print ( f "The average train accuracy is...accuracy is 0.81 >>> print ( f "The average test accuracy is...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
Release Highlights for scikit-learn 1.4 — sciki...
decision_function ( X_test ) print ( f "ROC AUC score is { roc_auc_score...0.0 -1.293993 1.0 0.0 print ( f "Output type: { type ( df_out...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html -
Plot classification probability — scikit-learn ...
set_title ( f "Class { label } " ) # plot data...0.16 , 0.015 ]) plt . title ( f "Probability class { label } "...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
Comparison of kernel ridge regression and SVR —...
time () - t0 print ( f "Best SVR with params: { svr ....= time . time () - t0 print ( f "Best KRR with params: { kr ....scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html -
DBFlute用語集 | DBFlute
用語集 アルファベット A B C D E F G H I J K L M N O P Q R S T U...dbflute.seasar.org/ja/manual/reference/dictionary/index.html -
Release Highlights for scikit-learn 1.3 — sciki...
( return_X_y = True ) print ( f "number of digits: { len ( np...hdbscan . labels_ != - 1 ] print ( f "number of clusters found: { len...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html -
Feature discretization — scikit-learn 1.7.2 doc...
enumerate ( datasets ): print ( f " \n dataset { ds_cnt } \n ---------"...score ( X_test , y_test ) print ( f " { name } : { score : .2f } "...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
1.7. Gaussian Processes — scikit-learn 1.7.2 do...
function \(f\) is desired (i.e. the mean \(\bar{f_*}\) and the...prior on a latent function \(f\) , which is then squashed through...scikit-learn.org/stable/modules/gaussian_process.html