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LeavePOut — scikit-learn 1.7.2 documentation
Provides train/test indices to split data in train/test sets. This..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html -
maihamadb properties
test.prefix Env Lang Property uq Comment - - [Test] 1 The...to show test environment or not integration - [Test] 1 The prefix...dbflute.seasar.org/ja/data/doc/harbor/properties-maihamadb.html -
World's most downloaded vector database: Elasti...
Test RAG fast — no setup needed Stop...work. AI Playground lets you test hybrid retrieval, relevance...www.elastic.co/elasticsearch/vector-database -
ExtraTreeRegressor — scikit-learn 1.7.2 documen...
X_test , y_train , y_test = train_test_split ( ......y_train ) >>> reg . score ( X_test , y_test ) 0.33 apply ( X , check_input...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeRegressor.html -
IsolationForest example — scikit-learn 1.7.2 do...
X_test , y_train , y_test = train_test_split ( X ,...sklearn.model_selection import train_test_split n_samples , n_outliers...scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html -
FixedThresholdClassifier — scikit-learn 1.7.2 d...
X_test , y_train , y_test = train_test_split ( ......confusion_matrix ( y_test , classifier . predict ( X_test ))) [[217 7]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html -
AI Assistant for Elastic Security | Elastic Docs
"name": "test_daija_glover", "roles": [ "superuser"...XV-x7pi5bxrSvU_0", "name": "test_daija_glover", "roles": [ "superuser"...www.elastic.co/docs/solutions/security/ai/ai-assistant -
ElasticNet — scikit-learn 1.7.2 documentation
coefficient of determination on test data. The coefficient of determination,...shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html -
Robust linear estimator fitting — scikit-learn ...
sin ( X_test ) X_test = X_test [:, np . newaxis ] y_errors...newaxis ] X_test = np . random . normal ( size = 200 ) y_test = np ....scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html -
NuSVR — scikit-learn 1.7.2 documentation
expected shape of X is (n_samples_test, n_samples_train). Returns :...coefficient of determination on test data. The coefficient of determination,...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html