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  1. ParameterGrid — scikit-learn 1.6.1 documentation

    ParameterGrid ( param_grid )) == ( ... [{ 'a' : 1 , 'b' : True...list ( ParameterGrid ( grid )) == [{ 'kernel' : 'linear' }, ......
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html
    Sat Apr 19 00:31:21 UTC 2025
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  2. 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 Apr 19 00:31:22 UTC 2025
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  3. RadiusNeighborsClassifier — scikit-learn 1.6.1 ...

    leaf_size = 30 , p = 2 , metric = 'minkowski' , outlier_label = None...radius = 1.0 , * , weights = 'uniform' , algorithm = 'auto' ,...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. 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 Apr 19 00:31:22 UTC 2025
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  5. Gaussian Mixture Model Selection — scikit-learn...

    ( X [ Y_ == i , 0 ], X [ Y_ == i , 1 ], 0.8 , color = color )...data = df , kind = "bar" , x = "Number of components" , y = "BIC...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html
    Sat Apr 19 00:31:21 UTC 2025
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  6. Profiler Auto instrumentation | APM .NET Agent ...

    $environment = @{ COR_ENABLE_PROFILING = "1" COR_PROFILER = "{FA65.../+"[name='$appPool'].environmentVariables.[name='$_',value='$($environment[$_])']"...
    www.elastic.co/guide/en/apm/agent/dotnet/current/setup-auto-instrumentation.html
    Wed Mar 12 16:26:33 UTC 2025
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  7. MultiTaskLasso — scikit-learn 1.6.1 documentation

    l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...precompute = 'auto' , Xy = None , copy_X = True , coef_init = None...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html
    Sat Apr 19 00:31:22 UTC 2025
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  8. Inductive Clustering — scikit-learn 1.6.1 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 Apr 19 00:31:22 UTC 2025
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  9. 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 Apr 19 00:31:22 UTC 2025
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  10. load_linnerud — scikit-learn 1.6.1 documentation

    return_X_y = False , as_frame = False ) [source] # Load...Parameters : return_X_y bool, default=False If True, returns (data, target)...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_linnerud.html
    Sat Apr 19 00:31:22 UTC 2025
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