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Utilities for Developers — scikit-learn 1.7.dev...
repeatability issues in unit tests. Instead, a numpy.random.RandomState...from graph_shortest_path . Testing Functions # discovery.all_estimators...scikit-learn.org/dev/developers/utilities.html -
Novelty detection with Local Outlier Factor (LO...
X_outliers ) n_error_test = y_pred_test [ y_pred_test == - 1 ] . size...# e.g. X_test, X_outliers or the meshgrid y_pred_test = clf ....scikit-learn.org/stable/auto_examples/neighbors/plot_lof_novelty_detection.html -
Features in Histogram Gradient Boosting Trees —...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.4 , shuffle = False ) print...scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.html -
validation_curve — scikit-learn 1.5.2 documenta...
print ( f "The average test accuracy is { test_scores . mean () :...curve. Determine training and test scores for varying parameter...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
Installing scikit-learn — scikit-learn 1.5.2 do...
2 tests pytest-cov 2.9.0 tests ruff 0.2.1 tests black 24.3.0...24.3.0 tests mypy 1.9 tests pyamg 4.0.0 tests polars 0.20.30 docs,...scikit-learn.org/stable/install.html -
Digits Classification Exercise — scikit-learn 1...
)] X_test = X_digits [ int ( 0.9 * n_samples ) :] y_test = y_digits..., y_train ) . score ( X_test , y_test )) print ( "LogisticRegression...scikit-learn.org/stable/auto_examples/exercises/plot_digits_classification_exercise.html -
Elastic Observability Serverless Pricing | Elastic
0123 /test run Optional Synthetic lightweight testing locations...metrics, traces, and synthetic test results. This includes all of...www.elastic.co/pricing/serverless-observability -
Univariate Feature Selection — scikit-learn 1.5...
X_test , y_train , y_test = train_test_split ( X ,...format ( clf . score ( X_test , y_test ) ) ) svm_weights = np ....scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html -
parametrize_with_checks — scikit-learn 1.5.2 do...
to specify which tests to run: pytest test_check_estimators ....DecisionTreeRegresso ()]) ... def test_sklearn_compatible_estimator...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.parametrize_with_checks.... -
1.13. Feature selection — scikit-learn 1.5.2 do...
based on univariate statistical tests. It can be seen as a preprocessing...common univariate statistical tests for each feature: false positive...scikit-learn.org/stable/modules/feature_selection.html