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ComplementNB — scikit-learn 1.6.1 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.ComplementNB.html -
pydata-sphinx-theme.js
test(e)&&o.test(e),n=(e,t,n)=>{u(n);const.../i.test(e.key)?document.activeElement===t&&/Escape/i.test(e....scikit-learn.org/stable/_static/scripts/pydata-sphinx-theme.js -
複数DB | DBFlute
dbflute-test-dbms-oracle (Oracle利用) Google Guice dbflute-test-active-hangar...dbflute-test-dbms-mysql (MySQL利用) Lasta Di lastaflute-test-fortress...dbflute.seasar.org/ja/manual/function/genbafit/projectfit/multipledb/ -
LearningCurveDisplay — scikit-learn 1.6.1 docum...
test_scores = test_scores , score_name =...train_sizes , train_scores , test_scores , score_name = None )...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html -
BernoulliNB — scikit-learn 1.6.1 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.BernoulliNB.html -
API Reference — scikit-learn 1.6.1 documentation
estimator check from the common tests fails. sklearn.exceptions e...pvalues below alpha based on a FPR test. sklearn.feature_selection SelectFromModel...scikit-learn.org/stable/api/index.html -
7.2. Real world datasets — scikit-learn 1.6.1 d...
newsgroups_test = fetch_20newsgroups ( subset = 'test' , ... categories...vectors_test = vectorizer . transform ( newsgroups_test . data...scikit-learn.org/stable/datasets/real_world.html -
NuSVC — scikit-learn 1.6.1 documentation
n_features) or (n_samples_test, n_samples_train) For kernel=”precomputed”,...expected shape of X is (n_samples_test, n_samples_train). Returns :...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html -
SelectFpr — scikit-learn 1.6.1 documentation
a FPR test. FPR test stands for False Positive Rate test. It controls...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html -
GradientBoostingRegressor — scikit-learn 1.6.1 ...
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