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GenericUnivariateSelect — scikit-learn 1.6.1 do...
based on a false positive rate test. SelectFdr Select features based...scores. mode {‘percentile’, ‘k_best’, ‘fpr’, ‘fdr’, ‘fwe’}, default=’percentile’...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.GenericUnivariateSelect.html -
Polynomial and Spline interpolation — scikit-le...
= g ( x_train ) # Extend the test data into the future: x_plot_ext...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
BaggingClassifier — scikit-learn 1.6.1 document...
the mean accuracy on the given test data and labels. In multi-label...shape (n_samples, n_features) Test samples. y array-like of shape...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html -
bootstrap.js
test(j());if(/Trident/i.test(j())&&S(t)&&"fi...F(){return!/^((?!chrome|android).)*safari/i.test(j())}function H(t,e,i){void...scikit-learn.org/stable/_static/scripts/bootstrap.js -
Version 1.3 — scikit-learn 1.6.1 documentation
and test curves by default. You can set score_type="test" to...return_indices to return the train-test indices of each cv split. #25659...scikit-learn.org/stable/whats_new/v1.3.html -
CDI (JSR-299)の取扱い | DBFlute
(JSR-299) を使ったExample実装 dbflute-test-dbms-derby があります。 DBFlute Example...dbflute.seasar.org/ja/manual/reference/diway/cdi/index.html -
Kibana Alerting: Breaking past scalability limi...
based on internal performance testing using a basic Elasticsearch...features to help you build the best search solutions for your use...www.elastic.co/search-labs/blog/kibana-alerting-task-manager-scalability -
LinearRegression — scikit-learn 1.6.1 documenta...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html -
enhanced-sastruts-blank.zip
2 test org.dbflute.utflute utflute-seasar...utflute-seasar ${utflute.version} test org.dbflute.jetty jetty-boot...dbflute.seasar.org/download/misc/friends/enhanced-sastruts-blank.zip -
1.7. Gaussian Processes — scikit-learn 1.6.1 do...
= noise\_level \text{ if } x_i == x_j \text{ else } 0\] 1.7.4.2....probabilistic classification, where test predictions take the form of...scikit-learn.org/stable/modules/gaussian_process.html