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Results 101 - 110 of 1,075 for test (0.09 sec)

  1. sklearn.ensemble.GradientBoostingClassifier — s...

    X_test = X [: 2000 ], X [ 2000 :] >>> y_train , y_test = y...y_train ) >>> clf . score ( X_test , y_test ) 0.913... Methods apply...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html
    Fri Apr 26 16:41:50 UTC 2024
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  2. Installing the development version of scikit-le...

    Test dependencies Running tests requires: pytest...dependencies Build dependencies Test dependencies Building a specific...
    scikit-learn.org/stable/developers/advanced_installation.html
    Fri Apr 26 16:41:48 UTC 2024
      55.6K bytes
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  3. preprocessing.rst.txt

    K_{test} - 1'_{\text{n}_{samples}} K - K_{test} 1_{\text{n}_{samples}}...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)...
    scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt
    Fri Apr 26 16:41:50 UTC 2024
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  4. sklearn.covariance.GraphicalLassoCV — scikit-le...

    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.GraphicalLassoCV.html
    Fri Apr 26 16:41:48 UTC 2024
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  5. Examples — scikit-learn 1.4.2 documentation

    (ROC) Nested versus non-nested cross-validation Nested versus...Comparison of F-test and mutual information Comparison of F-test and mutual...
    scikit-learn.org/stable/auto_examples/index.html
    Fri Apr 26 16:41:48 UTC 2024
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  6. sklearn.naive_bayes.BernoulliNB — scikit-learn ...

    classification on an array of test vectors X. predict_joint_log_proba...probability estimates for the test vector X. predict_log_proba...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html
    Fri Apr 26 16:41:50 UTC 2024
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  7. sklearn.naive_bayes.GaussianNB — scikit-learn 1...

    classification on an array of test vectors X. predict_joint_log_proba...probability estimates for the test vector X. predict_log_proba...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html
    Fri Apr 26 16:41:48 UTC 2024
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  8. sklearn.covariance.ShrunkCovariance — scikit-le...

    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.ShrunkCovariance.html
    Fri Apr 26 16:41:48 UTC 2024
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  9. sklearn.preprocessing.quantile_transform — scik...

    splitting into training and test sets. This will bias the model...information would have leaked from the test set to the training set. In...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html
    Fri Apr 26 16:41:50 UTC 2024
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  10. sklearn.linear_model.RidgeCV — scikit-learn 1.4...

    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.RidgeCV.html
    Fri Apr 26 16:41:48 UTC 2024
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