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  1. Isotonic Regression — scikit-learn 1.7.0 docume...

    check_random_state n = 100 x = np . arange ( n ) rs = check_random_state...models: ir = IsotonicRegression ( out_of_bounds = "clip" ) y_ = ir ....
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html
    Thu Jul 03 11:42:05 UTC 2025
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  2. PassiveAggressiveClassifier — scikit-learn 1.7....

    C = 1.0 , fit_intercept = True , max_iter = 1000 , tol = 0.001...n_iter_no_change = 5 , shuffle = True , verbose = 0 , loss = 'hinge' ,...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html
    Thu Jul 03 11:42:05 UTC 2025
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  3. LocalOutlierFactor — scikit-learn 1.7.0 documen...

    n_neighbors = 20 , * , algorithm = 'auto' , leaf_size = 30 , metric...metric = 'minkowski' , p = 2 , metric_params = None , contamination...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html
    Thu Jul 03 11:42:06 UTC 2025
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  4. Dimensionality Reduction with Neighborhood Comp...

    n_neighbors = 3 random_state = 0 # Load Digits dataset X , y = datasets...stratify = y , random_state = random_state ) dim = len ( X [ 0 ])...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nca_dim_reduction.html
    Thu Jul 03 11:42:05 UTC 2025
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  5. NMF — scikit-learn 1.7.0 documentation

    random_state = None , alpha_W = 0.0 , alpha_H = 'same' , l1_ratio = 0.0...n_components = 'auto' , * , init = None , solver = 'cd' , beta_loss...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html
    Thu Jul 03 11:42:06 UTC 2025
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  6. __sklearn_is_fitted__ as Developer API — scikit...

    parameter = 1 ): self . parameter = parameter def fit...training data. """ self . classes_ = sorted ( set ( y )) # Custom attribute...
    scikit-learn.org/stable/auto_examples/developing_estimators/sklearn_is_fitted.html
    Thu Jul 03 11:42:06 UTC 2025
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  7. LabelPropagation — scikit-learn 1.7.0 documenta...

    LabelPropagation ( kernel = 'rbf' , * , gamma = 20 , n_neighbors = 7 , max_iter...max_iter = 1000 , tol = 0.001 , n_jobs = None ) [source] # Label Propagation...
    scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelPropagation.html
    Mon Jun 30 13:50:27 UTC 2025
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  8. Birch — scikit-learn 1.7.0 documentation

    threshold = 0.5 , branching_factor = 50 , n_clusters = 3 , compute_labels...compute_labels = True , copy = 'deprecated' ) [source] # Implements...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.Birch.html
    Thu Jul 03 11:42:05 UTC 2025
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  9. fetch_openml — scikit-learn 1.7.0 documentation

    n_retries : int = 3 , delay : float = 1.0 , parser : str = 'auto' ,...: str | None = None , * , version : str | int = 'active' , data_id...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_openml.html
    Thu Jul 03 11:42:05 UTC 2025
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  10. Biclustering documents with the Spectral Co-clu...

    stop_words = "english" , min_df = 5 ) cocluster = SpectralCoclustering...random_state = 0 ) kmeans = MiniBatchKMeans ( n_clusters = len ( categories...
    scikit-learn.org/stable/auto_examples/bicluster/plot_bicluster_newsgroups.html
    Thu Jul 03 11:42:05 UTC 2025
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