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  1. PCA — scikit-learn 1.7.2 documentation

    n_components == min ( n_samples , n_features ) If n_components == 'mle'...n_components == 'mle' will interpret svd_solver == 'auto' as svd_solver...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html
    Sat Oct 11 07:51:25 UTC 2025
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  2. about.rst.txt

    _about: ======== About us ======== History ======= This project...contribution. Governance ========== The decision making process...
    scikit-learn.org/stable/_sources/about.rst.txt
    Sat Oct 11 07:51:27 UTC 2025
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  3. incr_mean_variance_axis — scikit-learn 1.7.2 do...

    axis = 0 , last_mean = np . zeros ( 3 ), last_var = np . zeros...(n_features,) if axis=0 or (n_samples,) if axis=1. last_var ndarray...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html
    Thu Oct 09 16:57:45 UTC 2025
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  4. Decision boundary of semi-supervised classifier...

    base_classifier = SVC ( kernel = "rbf" , gamma = 0.5 , probability = True...] y = iris . target # step size in the mesh h = 0.02 rng = np...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.html
    Sat Oct 11 07:51:26 UTC 2025
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  5. 1.11. Ensembles: Gradient boosting, random fore...

    min_samples_leaf = 1 , ... max_depth = 2 , ... learning_rate = 1 , ......learning_rate = 1.0 , ... max_depth = 1 , random_state = 0 ) . fit...
    scikit-learn.org/stable/modules/ensemble.html
    Sat Oct 11 07:51:26 UTC 2025
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  6. learning_curve — scikit-learn 1.7.2 documentation

    exploit_incremental_learning = False , n_jobs = None , pre_dispatch = 'all' , verbose...verbose = 0 , shuffle = False , random_state = None , error_score...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html
    Sat Oct 11 07:51:27 UTC 2025
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  7. Inductive Clustering — scikit-learn 1.7.2 docum...

    c = color , alpha = alpha , edgecolor = "k" ) # Generate..., y = make_blobs ( n_samples = N_SAMPLES , cluster_std = [ 1.0...
    scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html
    Sat Oct 11 07:51:26 UTC 2025
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  8. FastICA — scikit-learn 1.7.2 documentation

    fun = 'logcosh' , fun_args = None , max_iter = 200 , tol = 0.0001...n_components = None , * , algorithm = 'parallel' , whiten = 'unit-variance'...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.FastICA.html
    Sat Oct 11 07:51:26 UTC 2025
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  9. classificationDefinitionMap | DBFlute

    code=FOO; name=Foo; alias=Who; comment=Fooさん ; subItemMap=map:{...codeType=String} ; map: {code=PRV;name=Provisional;alias=仮会員 ;c...
    dbflute.seasar.org/ja/manual/reference/dfprop/classificationdefinition/index.html
    Mon Sep 15 10:51:18 UTC 2025
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  10. Pipelining: chaining a PCA and a logistic regre...

    logistic = LogisticRegression ( max_iter = 10000 , tol = 0.1 ) pipe...ax0 , ax1 ) = plt . subplots ( nrows = 2 , sharex = True , figsize...
    scikit-learn.org/stable/auto_examples/compose/plot_digits_pipe.html
    Sat Oct 11 07:51:27 UTC 2025
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