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  1. column_or_1d — scikit-learn 1.7.2 documentation

    >>> column_or_1d ([ 1 , 1 ]) array([1, 1]) On this page This...type for y . Added in version 1.2. warn bool, default=False To...
    scikit-learn.org/stable/modules/generated/sklearn.utils.validation.column_or_1d.html
    Tue Oct 14 17:56:27 UTC 2025
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  2. Comparing Linear Bayesian Regressors — scikit-l...

    1 , n_samples ) * 1.35 y = np . sqrt ( X...: y }) X = X . reshape (( - 1 , 1 )) # extrapolation X_plot =...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html
    Tue Oct 14 17:56:27 UTC 2025
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  3. Feature transformations with ensembles of trees...

    0001 C 1.0 fit_intercept True intercept_scaling 1 class_weight...0.0001 C 1.0 fit_intercept True intercept_scaling 1 class_weight...
    scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html
    Tue Oct 14 17:56:27 UTC 2025
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  4. as_float_array — scikit-learn 1.7.2 documentation

    nan Deprecated since version 1.6: force_all_finite was renamed...ensure_all_finite and will be removed in 1.8. ensure_all_finite bool or ‘allow-nan’,...
    scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html
    Tue Oct 14 17:56:25 UTC 2025
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  5. 4. Metadata Routing — scikit-learn 1.7.2 docume...

    1.1. Weighted scoring and fitting...>>> param_grid = { "C" : [ 0.1 , 1 ]} >>> lr = LogisticRegression...
    scikit-learn.org/stable/metadata_routing.html
    Tue Oct 14 17:56:26 UTC 2025
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  6. FastICA on 2D point clouds — scikit-learn 1.7.2...

    array ([[ 1 , 1 ], [ 0 , 2 ]]) # Mixing matrix...( 42 ) S = rng . standard_t ( 1.5 , size = ( 20000 , 2 )) S [:,...
    scikit-learn.org/stable/auto_examples/decomposition/plot_ica_vs_pca.html
    Tue Oct 14 17:56:26 UTC 2025
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  7. A demo of the Spectral Co-Clustering algorithm ...

    consensus score: 1.000 # Authors: The scikit-learn...permutation ( data . shape [ 1 ]) data = data [ row_idx ][:,...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_coclustering.html
    Tue Oct 14 17:56:26 UTC 2025
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  8. OOB Errors for Random Forests — scikit-learn 1....

    validated whilst being trained [ 1 ] . The example below demonstrates...= 25 , n_clusters_per_class = 1 , n_informative = 15 , random_state...
    scikit-learn.org/stable/auto_examples/ensemble/plot_ensemble_oob.html
    Tue Oct 14 17:56:24 UTC 2025
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  9. Comparison of Manifold Learning methods — sciki...

    MultipleLocator ( 1 )) ax . yaxis . set_major_locator...( ticker . MultipleLocator ( 1 )) ax . zaxis . set_major_locator...
    scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html
    Tue Oct 14 17:56:24 UTC 2025
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  10. 【さつまいもレシピはコレだけ覚えておけばOK】1本使い切り!簡単おかずレシピ4選・作り方 | ...

    どれもさつまいも1本使い切りで、満足感のある一品です。ぜひ、作ってみてくださいね♪...Pinterest Link 【さつまいも、もう揚げないで!】「油大さじ1だけ!?」「秒で消えるホクホク感♡」簡単&激うま大学芋レシピ...
    www.buzzfeed.com/jp/sachiyosuginohara/4-recipes-of-sweet-potato-side-dishes
    Sun Oct 05 00:19:01 UTC 2025
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