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GraphicalLassoCV — scikit-learn 1.5.2 documenta...
: X_test array-like of shape (n_samples, n_features) Test data...An iterable yielding (train, test) splits as arrays of indices....scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLassoCV.html -
Release Highlights for scikit-learn 1.5 — sciki...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( classifier_05 , X_test , y_test ) Lowering the threshold,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html -
DummyClassifier — scikit-learn 1.5.2 documentation
n_features) Test samples. Passing None as test samples gives...# Perform classification on test vectors X. Parameters : X array-like...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
GraphicalLasso — scikit-learn 1.5.2 documentation
: X_test array-like of shape (n_samples, n_features) Test data...the observations. score ( X_test , y = None ) [source] # Compute...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLasso.html -
Tweedie regression on insurance claims — scikit...
( "test" , X_test , df_test ), ]: y , _weights...train_test_split df_train , df_test , X_train , X_test = train_test_split...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
plot_release_highlights_1_5_0.py
X_test, y_train, y_test = train_test_split(X, y, random_state=0)...imator(classifier_05, X_test, y_test) # %% # Lowering the threshold,...scikit-learn.org/stable/_downloads/ba0cfc16d7953e1c2c6912b6beca1e91/plot_release_highlights_1_5_0.py -
Comparing various online solvers — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...( X_test ) yy_ . append ( 1 - np . mean ( y_pred == y_test ))...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html -
SVM Exercise — scikit-learn 1.5.2 documentation
out the test data plt . scatter ( X_test [:, 0 ], X_test [:, 1...n_sample )] X_test = X [ int ( 0.9 * n_sample ) :] y_test = y [ int...scikit-learn.org/stable/auto_examples/exercises/plot_iris_exercise.html -
Shrinkage covariance estimation: LedoitWolf vs ...
coloring_matrix ) X_test = np . dot ( base_X_test , coloring_matrix...n_samples , n_features )) base_X_test = np . random . normal ( size...scikit-learn.org/stable/auto_examples/covariance/plot_covariance_estimation.html -
Synthetic Monitoring with Elastic Observability...
push the test scripts with your code for continued testing in production....code releases and test updates, reuse test scripts to reduce...www.elastic.co/observability/synthetic-monitoring