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Results 101 - 110 of 551 for tests (0.1 sec)

  1. Curve Fitting with Bayesian Ridge Regression — ...

    increasing = True ) X_test = np . vander ( x_test , n_order + 1 , increasing...predict ( X_test , return_std = True ) ax . plot ( x_test , func (...
    scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html
    Sun May 19 20:00:39 UTC 2024
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  2. sklearn.model_selection.ValidationCurveDisplay ...

    test_scores = test_scores , score_name =...param_range , train_scores , test_scores , score_name = None )...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html
    Sun May 19 20:00:39 UTC 2024
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  3. Integrations Developer Guide | Elastic

    integration Test an integration Asset testing Pipeline testing Static...Static testing System testing Publish an integration Developer workflows...
    www.elastic.co/guide/en/integrations-developer/current/index.html
    Thu May 09 18:19:40 UTC 2024
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  4. Elastic Zoom connector reference | Enterprise S...

    Connector testing for more details. To perform E2E testing for the...Client operations End-to-end Testing The connector framework enables...
    www.elastic.co/guide/en/enterprise-search/current/connectors-zoom.html
    Thu May 09 14:03:31 UTC 2024
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  5. Shrinkage covariance estimation: LedoitWolf vs ...

    coloring_matrix ) X_test = np . dot ( base_X_test , coloring_matrix...data Compute the likelihood on test data Compare different approaches...
    scikit-learn.org/stable/auto_examples/covariance/plot_covariance_estimation.html
    Sun May 19 20:00:38 UTC 2024
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  6. sklearn.covariance.OAS — scikit-learn 1.4.2 doc...

    score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html
    Sun May 19 20:00:39 UTC 2024
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  7. sklearn.model_selection.RandomizedSearchCV — sc...

    param_gamma split0_test_score … rank_test_score ‘rbf’ 0.1 0.80...'split0_test_score' : [ 0.80 , 0.84 , 0.70 ], 'split1_test_score'...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html
    Sun May 19 20:00:39 UTC 2024
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  8. 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
    Sun May 19 20:00:39 UTC 2024
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  9. 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
    Sun May 19 20:00:38 UTC 2024
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  10. Comparing Random Forests and Histogram Gradient...

    significant improvement of the testing score. Plot results We can...elapsed computing time and mean test score. Passing the cursor over...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html
    Sun May 19 20:00:39 UTC 2024
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