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Results 61 - 70 of 575 for test (0.17 sec)

  1. 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
    Sat May 18 15:26:01 UTC 2024
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  2. 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
    Sat May 18 15:26:01 UTC 2024
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  3. 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
    Sat May 18 15:26:00 UTC 2024
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  4. sklearn.linear_model.ElasticNetCV — scikit-lear...

    are tested by cross-validation and the one giving the best prediction...An iterable yielding (train, test) splits as arrays of indices....
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html
    Sat May 18 15:26:00 UTC 2024
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  5. Supervised learning: predicting an output varia...

    iris_X_test = iris_X [ indices [ - 10 :]] >>> iris_y_test = iris_y...predict ( diabetes_X_test ) - diabetes_y_test ) ** 2 ) 2004.5......
    scikit-learn.org/stable/tutorial/statistical_inference/supervised_learning.html
    Sat May 18 15:26:01 UTC 2024
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  6. 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
    Sat May 18 15:26:01 UTC 2024
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  7. sklearn.neural_network.MLPRegressor — scikit-le...

    X_test , y_train , y_test = train_test_split ( X ,...-7.1...]) >>> regr . score ( X_test , y_test ) 0.4... Methods fit (X,...
    scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html
    Sat May 18 15:26:00 UTC 2024
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  8. sklearn.discriminant_analysis.LinearDiscriminan...

    the mean accuracy on the given test data and labels. set_output...n_features) Array of samples (test vectors). Returns : C ndarray...
    scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi...
    Sat May 18 15:26:00 UTC 2024
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  9. 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
    Sat May 18 15:26:01 UTC 2024
      55.6K bytes
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  10. sklearn.linear_model.ElasticNet — scikit-learn ...

    Train error vs Test error Train error vs Test error...shape (n_samples, n_features) Test samples. For some estimators...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html
    Sat May 18 15:26:01 UTC 2024
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