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Results 121 - 140 of 864 for test (0.14 sec)

  1. sklearn.covariance.LedoitWolf — scikit-learn 1....

    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.LedoitWolf.html
    Thu May 09 23:01:24 UTC 2024
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  2. sklearn.model_selection.cross_val_score — sciki...

    IterativeImputer Nested versus non-nested cross-validation Nested versus...splitting the dataset into train/test set. Only used in conjunction...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html
    Thu May 09 23:01:24 UTC 2024
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  3. sklearn.decomposition.SparsePCA — scikit-learn ...

    n_features) Test data to be transformed, must...simple estimators as well as on nested objects (such as Pipeline )....
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html
    Thu May 09 23:01:25 UTC 2024
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  4. sklearn.linear_model.OrthogonalMatchingPursuit ...

    n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html
    Thu May 09 23:01:25 UTC 2024
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  5. sklearn.linear_model.QuantileRegressor — scikit...

    n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html
    Thu May 09 23:01:25 UTC 2024
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  6. sklearn.feature_selection.RFECV — scikit-learn ...

    test) splits as arrays of indices....ndarrays A dict with keys: split(k)_test_score ndarray of shape (n_s...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html
    Thu May 09 23:01:24 UTC 2024
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  7. faq.rst.txt

    :ref:`text_feature_extraction` for the built-in *text vectorizers*....^^^^^^^^^^ scikit-learn is regularly tested and maintained to work with...
    scikit-learn.org/stable/_sources/faq.rst.txt
    Thu May 09 23:01:25 UTC 2024
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  8. ensemble.rst.txt

    to est >>> mean_squared_error(y_test, est.predict(X_test)) 3.84......train_test_split >>> X_train, X_test, y_train, y_test = train_test_split(X,...
    scikit-learn.org/stable/_sources/modules/ensemble.rst.txt
    Thu May 09 23:01:24 UTC 2024
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  9. sklearn.ensemble.AdaBoostRegressor — scikit-lea...

    n_features) Test samples. For some estimators...determine the prediction on a test set after each boost. Parameters...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html
    Thu May 09 23:01:24 UTC 2024
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  10. sklearn.svm.NuSVR — scikit-learn 1.4.2 document...

    expected shape of X is (n_samples_test, n_samples_train). Returns :...shape (n_samples, n_features) Test samples. For some estimators...
    scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html
    Thu May 09 23:01:25 UTC 2024
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  11. sklearn.svm.NuSVC — scikit-learn 1.4.2 document...

    the mean accuracy on the given test data and labels. set_fit_request...(n_samples, n_features) or (n_samples_test, n_samples_train) For kernel=”precomputed”,...
    scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html
    Thu May 09 23:01:24 UTC 2024
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  12. sklearn.linear_model.LassoLarsCV — scikit-learn...

    test) splits as arrays of indices....shape (n_samples, n_features) Test samples. For some estimators...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html
    Thu May 09 23:01:24 UTC 2024
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  13. 1.16. Probability calibration — scikit-learn 1....

    test_set) couples (as determined...Then its predictions on the test subset are used to fit a calibrator...
    scikit-learn.org/stable/modules/calibration.html
    Thu May 09 23:01:25 UTC 2024
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  14. sklearn.ensemble.ExtraTreesRegressor — scikit-l...

    X_test , y_train , y_test = train_test_split ( ......y_train ) >>> reg . score ( X_test , y_test ) 0.2727... Methods apply...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html
    Thu May 09 23:01:25 UTC 2024
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  15. sklearn.mixture.GaussianMixture — scikit-learn ...

    log-likelihood of new samples at test time. The shape depends on covariance_type...log-likelihood of new samples at test time. The shape depends on covariance_type...
    scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html
    Thu May 09 23:01:25 UTC 2024
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  16. sklearn.linear_model.OrthogonalMatchingPursuitC...

    test) splits as arrays of indices....shape (n_samples, n_features) Test samples. For some estimators...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuitCV.html
    Thu May 09 23:01:25 UTC 2024
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  17. sklearn.ensemble.ExtraTreesClassifier — scikit-...

    max_leaf_nodes in best-first fashion. Best nodes are defined...the mean accuracy on the given test data and labels. set_fit_request...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html
    Thu May 09 23:01:25 UTC 2024
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  18. 7.4. Loading other datasets — scikit-learn 1.4....

    X_test , y_test = load_svmlight_files (...number of features: >>> X_test , y_test = load_svmlight_file ( ......
    scikit-learn.org/stable/datasets/loading_other_datasets.html
    Thu May 09 23:01:25 UTC 2024
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  19. sklearn.covariance.EmpiricalCovariance — scikit...

    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.EmpiricalCovariance.html
    Thu May 09 23:01:25 UTC 2024
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  20. sklearn.ensemble.StackingRegressor — scikit-lea...

    train_test_split >>> X_train , X_test , y_train , y_test = train_test_split..., y_train ) . score ( X_test , y_test ) 0.3... Methods fit (X,...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html
    Thu May 09 23:01:25 UTC 2024
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