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Global IT Outage Linked To CrowdStrike Update D...
someone didn't have a proper testing process before rolling out...wind. Isn't there IT staff testing before deploying the updates?...it.slashdot.org/story/24/07/19/0943232/global-it-outage-linked-to-crowdstrike-update-disrupts-bus... -
BuzzFeed Video
Eye Ladylike Lady tested, lady approved. Eye Made By...Bogus Beauty PLAY 12:10 Watch I Tested Custom Glass Slippers Like...www.buzzfeed.com/videos -
ハンズオンセクション 8 | DBFlute
引数の値で null は許されない 対応テストメソッド test_updateMemberChangedT_会員が更新されていること()...更新処理後、DB上のデータが更新されていることをアサート test_updateMemberChangedT_排他制御例外が発生すること()...dbflute.seasar.org/ja/tutorial/handson/section08.html -
GaussianNB — scikit-learn 1.5.2 documentation
classification on an array of test vectors X. Parameters : X array-like...probability estimates for the test vector X. For each row x of...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
dbflute-maven-plugin - dbflute:sql2entity
jdbc generate doc outside-sql-test replace-schema sql2entity manage...dbflute.seasar.org/maven/plugin/sql2entity-mojo.html -
Quantile regression — scikit-learn 1.5.2 docume...
evaluation by looking at the test error obtained by cross-validation...."neg_mean_squared_error" ], ) print ( f """Test error (cross-validated performance)...scikit-learn.org/stable/auto_examples/linear_model/plot_quantile_regression.html -
check_increasing — scikit-learn 1.5.2 documenta...
based on a Spearman correlation test. Parameters : x array-like of...scikit-learn.org/stable/modules/generated/sklearn.isotonic.check_increasing.html -
sklearn.feature_selection — scikit-learn 1.5.2 ...
pvalues below alpha based on a FPR test. SelectFromModel Meta-transformer...Univariate linear regression tests returning F-statistic and p-values....scikit-learn.org/stable/api/sklearn.feature_selection.html -
Vector search | Elastic
for 14 days to go deeper and test these capabilities. Start free...www.elastic.co/demo-gallery/vector-search -
GradientBoostingRegressor — scikit-learn 1.5.2 ...
X_test , y_train , y_test = train_test_split ( ......>>> reg . score ( X_test , y_test ) 0.4... For a detailed example...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html