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Results 21 - 30 of 399 for f (0.06 sec)

  1. f1_score — scikit-learn 1.7.0 documentation

    also known as balanced F-score or F-measure. The F1 score can...y_pred ), f-score is undefined. In such cases, by default f-score...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html
    Tue Jul 01 15:59:32 UTC 2025
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  2. Bunch — scikit-learn 1.7.0 documentation

    ] **F ) → None. Update D from dict/iterable E and F. # If E...is followed by: for k in F: D[k] = F[k] values ( ) → an object...
    scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html
    Mon Jun 30 13:50:28 UTC 2025
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  3. gpt.js

    ||(f=m?13:5,f=n?f&-4097:f|4096);k&&f===g||(c=Pb(c),g=0,f=Lc(...f,e));f!==g&&G(c,f);e=N(d,e,b,c);2&f||!(4096&f||16&f)||Ec(d,e);return...
    securepubads.g.doubleclick.net/tag/js/gpt.js
    Sat Jun 28 00:48:04 UTC 2025
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  4. 1.5. Stochastic Gradient Descent — scikit-learn...

    f(x_i)) = \max(0, 1 - y_i f(x_i))^2\) if \(y_i f(x_i) >...Classification. \(L(y_i, f(x_i)) = \max(0, 1 - y_i f(x_i))\) . Perceptron:...
    scikit-learn.org/stable/modules/sgd.html
    Tue Jul 01 15:59:32 UTC 2025
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  5. 5.2. Permutation feature importance — scikit-le...

    print ( f " { diabetes . feature_names [ i ] : <8 } " ... f " { r...print ( f " { diabetes . feature_names [ i ] : <8 } " ... f " { r...
    scikit-learn.org/stable/modules/permutation_importance.html
    Tue Jul 01 15:59:34 UTC 2025
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  6. bootstrap.js

    nce[f]-d[f]-i.rects.popper[p],y=d[f]-i.rects.reference[f],w=...,k,M)),F=y===f?j:I,B={top:$.top-F.top+C.top,bottom:F.bottom-...
    scikit-learn.org/stable/_static/scripts/bootstrap.js
    Tue Jul 01 15:59:35 UTC 2025
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  7. plot_hgbt_regression.ipynb

    rint(f\"Test sample size: {X_test.shape[0]}\")\nprint(f\"Number...test_size=0.4, shuffle=False)\n\nprint(f\"Training sample size: {X_tra...
    scikit-learn.org/stable/_downloads/cb9a8a373677fb481fe43a11d8fa0e94/plot_hgbt_regression.ipynb
    Tue Jul 01 15:59:34 UTC 2025
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  8. auto_examples_python.zip

    randn(1000) f_test, _ = f_regression(X, y) f_test /= np.max(f_test)...with f_0, and negatively correlated with f_1 y = 5 * f_0 + np.sin(10...
    scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
    Tue Jul 01 15:59:34 UTC 2025
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  9. plot_hgbt_regression.py

    print(f"Training sample size: {X_train.shape[0]}") print(f"Test...size: {X_test.shape[0]}") print(f"Number of features: {X_train.shape[1]}")...
    scikit-learn.org/stable/_downloads/d108f2283ac3905eb623b32d42217a2b/plot_hgbt_regression.py
    Tue Jul 01 15:59:34 UTC 2025
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  10. permutation_test_score — scikit-learn 1.7.0 doc...

    ) >>> print ( f "Original Score: { score : .3f...Score: 0.810 >>> print ( ... f "Permutation Scores: { permutation_scores...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html
    Tue Jul 01 15:59:33 UTC 2025
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