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  1. 1.6. Nearest Neighbors — scikit-learn 1.4.2 doc...

    Neighbors 1.6.1.1. Finding the Nearest Neighbors 1.6.1.2. KDTree...([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...
    scikit-learn.org/stable/modules/neighbors.html
    Sat May 18 15:26:00 UTC 2024
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  2. 1.16. Probability calibration — scikit-learn 1....

    1. Sigmoid 1.16.3.2. Isotonic 1.16.3.3. Multiclass support 1.16....the software. 1.16. Probability calibration 1.16.1. Calibration...
    scikit-learn.org/stable/modules/calibration.html
    Sat May 18 15:26:00 UTC 2024
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  3. 1.8. Cross decomposition — scikit-learn 1.4.2 d...

    1.8. Cross decomposition 1.8.1. PLSCanonical 1.8.2. PLSSVD...PLSSVD 1.8.3. PLSRegression 1.8.4. Canonical Correlation Analysis...
    scikit-learn.org/stable/modules/cross_decomposition.html
    Sat May 18 15:26:00 UTC 2024
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  4. 1.12. Multiclass and multioutput algorithms — s...

    1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,...0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,...
    scikit-learn.org/stable/modules/multiclass.html
    Sat May 18 15:26:00 UTC 2024
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  5. 1.4. Support Vector Machines — scikit-learn 1.4...

    n_support_ array([1, 1]...) 1.4.1.1. Multi-class classification...software. 1.4. Support Vector Machines 1.4.1. Classification 1.4.1.1....
    scikit-learn.org/stable/modules/svm.html
    Sat May 18 15:26:01 UTC 2024
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  6. 1.5. Stochastic Gradient Descent — scikit-learn...

    Practical Use 1.5.8. Mathematical formulation 1.5.8.1. SGD 1.5.9. Implementation...the software. 1.5. Stochastic Gradient Descent 1.5.1. Classification...
    scikit-learn.org/stable/modules/sgd.html
    Sat May 18 15:26:01 UTC 2024
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  7. 1.15. Isotonic regression — scikit-learn 1.4.2 ...

    1.15. Isotonic regression 1.15. Isotonic regression...Menu Prev Up Next scikit-learn 1.4.2 Other versions Please cite...
    scikit-learn.org/stable/modules/isotonic.html
    Sat May 18 15:26:00 UTC 2024
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  8. Release Highlights for scikit-learn 1.1 — sciki...

    0 1.0 1 0.0 0.0 1.0 2 1.0 0.0 0.0 3 0.0 1.0 0.0 Performance...Highlights for scikit-learn 1.1 Quantile loss in ensemble.HistGradientBoosting...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_1_0.html
    Sat May 18 15:26:00 UTC 2024
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  9. 1.17. Neural network models (supervised) — scik...

    [ 1. , 1. ]] >>> y = [[ 0 , 1 ], [ 1 , 1 ]] >>> clf...software. 1.17. Neural network models (supervised) 1.17.1. Multi-layer...
    scikit-learn.org/stable/modules/neural_networks_supervised.html
    Sat May 18 15:26:00 UTC 2024
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  10. 1.7. Gaussian Processes — scikit-learn 1.4.2 do...

    1.7. Gaussian Processes 1.7.1. Gaussian Process...examples 1.7.3.1. Probabilistic predictions with GPC 1.7.3.2. Illustration...
    scikit-learn.org/stable/modules/gaussian_process.html
    Sat May 18 15:26:01 UTC 2024
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