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  1. TruncatedSVD — scikit-learn 1.6.1 documentation

    n_components = 2 , * , algorithm = 'randomized' , n_iter = 5 , n_oversamples...( 50 )] = 0 >>> X = csr_matrix ( X_dense ) >>> svd = TruncatedSVD...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html
    Sat Apr 19 00:31:21 UTC 2025
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  2. TheilSenRegressor — scikit-learn 1.6.1 document...

    n_subsamples = None , max_iter = 300 , tol = 0.001 , random_state = None...fit_intercept = True , copy_X = 'deprecated' , max_subpopulation = 10000.0...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html
    Sat Apr 19 00:31:21 UTC 2025
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  3. 1.5. Stochastic Gradient Descent — scikit-learn...

    >>> clf = SGDClassifier ( loss = "hinge" , penalty = "l2" , max_iter...>>> clf = SGDClassifier ( loss = "log_loss" , max_iter = 5 ) ....
    scikit-learn.org/stable/modules/sgd.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. SpectralCoclustering — scikit-learn 1.6.1 docum...

    n_clusters = 3 , * , svd_method = 'randomized' , n_svd_vecs = None...mini_batch = False , init = 'k-means++' , n_init = 10 , random_state...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html
    Sat Apr 19 00:31:22 UTC 2025
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  5. Forecasting of CO2 level on Mona Loa dataset us...

    fetch_openml co2 = fetch_openml ( data_id = 41187 , as_frame = True ) co2...length_scale = 1.0 , periodicity = 1.0 , periodicity_bounds = "fixed"...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_co2.html
    Sat Apr 19 00:31:21 UTC 2025
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  6. LassoLarsCV — scikit-learn 1.6.1 documentation

    precompute = 'auto' , cv = None , max_n_alphas = 1000 , n_jobs = None...fit_intercept = True , verbose = False , max_iter = 500 , precompute...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html
    Sat Apr 19 00:31:21 UTC 2025
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  7. Demonstration of k-means assumptions — scikit-l...

    ( X [ y == 0 ][: 500 ], X [ y == 1 ][: 100 ], X [ y == 2 ][: 10...axs = plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 12...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html
    Sat Apr 19 00:31:21 UTC 2025
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  8. KernelRidge — scikit-learn 1.6.1 documentation

    alpha = 1 , * , kernel = 'linear' , gamma = None , degree = 3 ,..., coef0 = 1 , kernel_params = None ) [source] # Kernel ridge regression....
    scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.html
    Sat Apr 19 00:31:21 UTC 2025
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  9. favicon_64x64_16bit.png

    35273367 width=64, height=64, bitDepth=8, colorType=RGBAlpha, c...whitePointX=31270, whitePointY=32900, redX=64000, redY=33000, greenX=30000,...
    www.elastic.co/favicon_64x64_16bit.png
    Mon Mar 24 20:10:51 UTC 2025
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  10. fetch_20newsgroups_vectorized — scikit-learn 1....

    subset = 'train' , remove = () , data_home = None , download_if_missing...download_if_missing = True , return_X_y = False , normalize = True , as_frame...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html
    Sat Apr 19 00:31:21 UTC 2025
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