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  1. SVM-Anova: SVM with univariate feature selectio...

    This example shows how to perform univariate feature selection before running a SVC (support vector classifier) to improve the classification scores. We use the iris dataset (4 features) and add 36...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html
    Sat Nov 23 04:49:15 UTC 2024
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  2. Online learning of a dictionary of parts of fac...

    This example uses a large dataset of faces to learn a set of 20 x 20 images patches that constitute faces. From the programming standpoint, it is interesting because it shows how to use the online ...
    scikit-learn.org/stable/auto_examples/cluster/plot_dict_face_patches.html
    Sat Nov 23 04:49:14 UTC 2024
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  3. 3. Model selection and evaluation — scikit-lear...

    Cross-validation: evaluating estimator performance- Computing cross-validated metrics, Cross validation iterators, A note on shuffling, Cross validation and model selection, Permutation test score....
    scikit-learn.org/stable/model_selection.html
    Sat Nov 23 04:49:14 UTC 2024
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  4. Segmenting the picture of greek coins in region...

    This example uses Spectral clustering on a graph created from voxel-to-voxel difference on an image to break this image into multiple partly-homogeneous regions. This procedure (spectral clustering...
    scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.html
    Sat Nov 23 04:49:16 UTC 2024
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  5. Dimensionality Reduction with Neighborhood Comp...

    Sample usage of Neighborhood Components Analysis for dimensionality reduction. This example compares different (linear) dimensionality reduction methods applied on the Digits data set. The data set...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nca_dim_reduction.html
    Sat Nov 23 04:49:14 UTC 2024
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  6. Simple 1D Kernel Density Estimation — scikit-le...

    This example uses the KernelDensity class to demonstrate the principles of Kernel Density Estimation in one dimension. The first plot shows one of the problems with using histograms to visualize th...
    scikit-learn.org/stable/auto_examples/neighbors/plot_kde_1d.html
    Sat Nov 23 04:49:16 UTC 2024
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  7. ledoit_wolf_shrinkage — scikit-learn 1.5.2 docu...

    Skip to main content Back to top Ctrl + K GitHub ledoit_wolf_shrinkage # sklearn.covariance. ledoit_wolf_shrinkage ( ...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf_shrinkage.html
    Sat Nov 23 04:49:16 UTC 2024
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  8. load_svmlight_file — scikit-learn 1.5.2 documen...

    Skip to main content Back to top Ctrl + K GitHub load_svmlight_file # sklearn.datasets. load_svmlight_file ( f , * , ...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_file.html
    Sat Nov 23 04:49:16 UTC 2024
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  9. fetch_lfw_pairs — scikit-learn 1.5.2 documentation

    Skip to main content Back to top Ctrl + K GitHub fetch_lfw_pairs # sklearn.datasets. fetch_lfw_pairs ( * , subset = '...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_pairs.html
    Sat Nov 23 04:49:15 UTC 2024
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  10. dump_svmlight_file — scikit-learn 1.5.2 documen...

    Skip to main content Back to top Ctrl + K GitHub dump_svmlight_file # sklearn.datasets. dump_svmlight_file ( X , y , ...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.dump_svmlight_file.html
    Sat Nov 23 04:49:15 UTC 2024
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