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Results 181 - 190 of 394 for f (0.04 sec)

  1. Multiclass Receiver Operating Characteristic (R...

    name = f " { class_of_interest } vs the...effect of numpy.ravel : print ( f "y_score: \n { y_score [ 0 : 2...
    scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html
    Thu Apr 03 21:44:37 UTC 2025
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  2. Prediction Intervals for Gradient Boosting Regr...

    f ( xx ), "g:" , linewidth = 3 , label = r "$f(x) = x\,\sin(x)$"...( xx , f ( xx ), "g:" , linewidth = 3 , label = r "$f(x) = x\,\sin(x)$"...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html
    Thu Apr 03 21:44:37 UTC 2025
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  3. precision_recall_fscore_support — scikit-learn ...

    'f-score') , sample_weight = None...# Compute precision, recall, F-measure and support for each class....
    scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html
    Thu Apr 03 21:44:38 UTC 2025
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  4. Examples of Using FrozenEstimator — scikit-lear...

    estimates for three data points: \n " f " { classifier . predict_proba...same three data points: \n " f " { classifier . predict ( X_test...
    scikit-learn.org/stable/auto_examples/frozen/plot_frozen_examples.html
    Thu Apr 03 21:44:38 UTC 2025
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  5. The Johnson-Lindenstrauss bound for embedding w...

    legend ([ f "eps = { eps : 0.1f } " for eps...color = color ) plt . legend ([ f "n_samples = { n } " for n in...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html
    Thu Apr 03 21:44:37 UTC 2025
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  6. sklearn.feature_selection — scikit-learn 1.6.1 ...

    f_classif Compute the ANOVA F-value for the provided...provided sample. f_regression Univariate linear regression tests...
    scikit-learn.org/stable/api/sklearn.feature_selection.html
    Thu Apr 03 21:44:37 UTC 2025
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  7. Lasso on dense and sparse data — scikit-learn 1...

    y ) print ( f "Sparse Lasso done in { ( time...dense_lasso . fit ( X , y ) print ( f "Dense Lasso done in { ( time...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html
    Thu Apr 03 21:44:37 UTC 2025
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  8. Effect of transforming the targets in regressio...

    model_selection import train_test_split f , ( ax0 , ax1 ) = plt . subplots..."Transformed target distribution" ) f . suptitle ( "Synthetic data"...
    scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.html
    Thu Apr 03 21:44:38 UTC 2025
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  9. 9. Model persistence — scikit-learn 1.6.1 docum...

    "wb" ) as f : f . write ( onx . SerializeToString..."filename.onnx" , "rb" ) as f : onx = f . read () sess = InferenceSession...
    scikit-learn.org/stable/model_persistence.html
    Thu Apr 03 21:44:38 UTC 2025
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  10. Vector Quantization Example — scikit-learn 1.6....

    face ( gray = True ) print ( f "The dimension of the image is...raccoon_face . shape } " ) print ( f "The data used to encode the image...
    scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html
    Thu Apr 03 21:44:38 UTC 2025
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