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Gaussian Mixture Model Selection — scikit-learn...
"mean_test_score" ] ] df [ "mean_test_score" ] = - df...df [ "mean_test_score" ] df = df . rename ( columns = { "param_n_components"...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html -
is_regressor — scikit-learn 1.7.2 documentation
instance Estimator object to test. Returns : out bool True if...scikit-learn.org/stable/modules/generated/sklearn.base.is_regressor.html -
Caching nearest neighbors — scikit-learn 1.7.2 ...
cv_results_ [ "mean_test_score" ], yerr = grid_model...grid_model . cv_results_ [ "std_test_score" ], ) axes [ 0 ] . set ( xlabel...scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html -
Transforming data interaction: Deploying Elasti...
Execute the Python client to test the integration. This Python...consists of two main functions: test_mcp_endpoint() and chat_with_agentcore()...www.elastic.co/search-labs/blog/elastic-mcp-server-amazon-bedrock-agentcore-runtime -
LassoLarsCV — scikit-learn 1.7.2 documentation
test) splits as arrays of indices....coefficient of determination on test data. The coefficient of determination,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html -
Project Mailing Lists
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Probabilistic predictions with Gaussian process...
according to the log-loss on test data. The figure shows that...train_size :], c = "g" , label = "Test data" , edgecolors = ( 0 , 0...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html -
Issue Tracking
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HalvingGridSearchCV — scikit-learn 1.7.2 docume...
test) splits as arrays of indices....evaluate the predictions on the test set. str: see String name scorers...scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingGridSearchCV.html -
ExtraTreeClassifier — scikit-learn 1.7.2 docume...
X_test , y_train , y_test = train_test_split ( ......y_train ) >>> cls . score ( X_test , y_test ) 0.8947 apply ( X , check_input...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html