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  1. Plot Hierarchical Clustering Dendrogram — sciki...

    n_samples : current_count += 1 # leaf node else : current_count...
    scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_dendrogram.html
    Fri Dec 20 11:14:18 UTC 2024
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  2. parallel_backend — scikit-learn 1.6.0 documenta...

    n_jobs = -1 , inner_max_num_threads = None...
    scikit-learn.org/stable/modules/generated/sklearn.utils.parallel_backend.html
    Mon Dec 16 17:57:02 UTC 2024
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  3. get_tags — scikit-learn 1.6.0 documentation

    Added in version 1.6. Parameters : estimator estimator...
    scikit-learn.org/stable/modules/generated/sklearn.utils.get_tags.html
    Fri Dec 20 11:14:16 UTC 2024
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  4. TfidfTransformer — scikit-learn 1.6.0 documenta...

    array([[1, 1, 1, 1, 0, 1, 0, 0], [1, 2, 0, 1, 1, 1, 0, 0], [1, 0,...0, 0, 1, 0, 1, 1, 1], [1, 1, 1, 1, 0, 1, 0, 0]]) >>> pipe [ 'tfid'...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html
    Fri Dec 20 11:14:16 UTC 2024
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  5. Demo of OPTICS clustering algorithm — scikit-le...

    subplot ( G [ 1 , 0 ]) ax3 = plt . subplot ( G [ 1 , 1 ]) ax4 = plt...labels_ == - 1 , 0 ], X [ clust . labels_ == - 1 , 1 ], "k+" , alpha...
    scikit-learn.org/stable/auto_examples/cluster/plot_optics.html
    Fri Dec 20 11:14:18 UTC 2024
      108K bytes
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  6. Tweedie regression on insurance claims — scikit...

    tweedie_powers = [ 1.5 , 1.7 , 1.8 , 1.9 , 1.99 , 1.999 , 1.9999 ] scores_product_model...dev p=1.9990 1.914573e+03 1.914370e+03 1.914538e+03 1.914387e+03...
    scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html
    Fri Dec 20 11:14:14 UTC 2024
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  7. Version 0.13 — scikit-learn 1.7.dev0 documentation

    Jackman 1 Subhodeep Moitra 1 bob 1 dengemann 1 emanuele 1 x006 On...Coelho 1 Miroslav Batchkarov 1 Pavel 1 Sebastian Berg 1 Shaun...
    scikit-learn.org/dev/whats_new/v0.13.html
    Fri Dec 20 11:14:15 UTC 2024
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  8. RandomTreesEmbedding — scikit-learn 1.6.0 docum...

    1.], [1., 0., 1., 0., 1., 0., 1., 0., 1., 0.], [0., 1., 1.,...array([[0., 1., 1., 0., 1., 0., 0., 1., 1., 0.], [0., 1., 1., 0., 1.,...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomTreesEmbedding.html
    Fri Dec 20 11:14:16 UTC 2024
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  9. fast_logdet — scikit-learn 1.6.0 documentation

    1 ], [ 2 , 8 ]]) >>> fast_logdet...
    scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.fast_logdet.html
    Fri Dec 20 11:14:16 UTC 2024
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  10. StratifiedGroupKFold — scikit-learn 1.6.0 docum...

    1 , 1 , 1 , 1 , 1 , 1 , 0 , 0 , 0 , 0 , 0...Train: index=[ 0 1 2 3 7 8 9 10 11 15 16] group=[1 1 2 2 4 5 5 5 5...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html
    Fri Dec 20 11:14:16 UTC 2024
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