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1.11. Ensembles: Gradient boosting, random fore...
( y_test , est . predict ( X_test )) 5.00... >>> _ = est . set_params...train_test_split >>> X_train , X_test , y_train , y_test = train_test_split...scikit-learn.org/stable/modules/ensemble.html -
GaussianProcessRegressor — scikit-learn 1.5.0 d...
n_features) Test samples. For some estimators...theta .... # Returned are the best found hyperparameters theta...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
Slashdot: News for nerds, stuff that matters
I've been testing out the Orange Pi 5 the past...Now, developers can create and test widgets that can be added to...build.slashdot.org -
Analyzing online search relevance metrics with ...
sophisticated tools such as A/B testing and result interleaving to...API in Elasticsearch blog post Test-Driven Relevance Tuning of Elasticsearch...www.elastic.co/blog/analyzing-online-search-relevance-metrics-with-the-elastic-stack -
SelectKBest — scikit-learn 1.5.0 documentation
based on a false positive rate test. SelectFdr Select features based...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html -
Classification of text documents using sparse f...
predict ( X_test ) test_time = time () - t0 print ( f "test time: {..., ) data_test = fetch_20newsgroups ( subset = "test" , categories...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
PLSRegression — scikit-learn 1.5.0 documentation
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.cross_decomposition.PLSRegression.html -
DecisionTreeRegressor — scikit-learn 1.5.0 docu...
splitter {“best”, “random”}, default=”best” The strategy used...Supported strategies are “best” to choose the best split and “random”...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
Lasso — scikit-learn 1.5.0 documentation
n_features) Test samples. For some estimators...tol times \(||y||_2^2 / n_{\text{samples}}\) . The target can...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html -
GradientBoostingRegressor — scikit-learn 1.5.0 ...
X_test , y_train , y_test = train_test_split ( ......>>> reg . score ( X_test , y_test ) 0.4... apply ( X ) [source]...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html