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  1. OrthogonalMatchingPursuit — scikit-learn ...

    this value is either set to 10% of n_features or 1, whichever...None this value is either set to 10% of n_features or 1, whichever...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html
    Mon Jan 12 10:07:38 GMT 2026
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  2. RepeatedStratifiedKFold — scikit-learn 1....

    n_repeats = 10 , random_state = None ) [source]...least 2. n_repeats int, default=10 Number of times cross-validator...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html
    Mon Jan 12 10:07:41 GMT 2026
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  3. Node-RED - IBM Developer

    Items per page: 10 20 30 1–10 of 11 items Page number,...
    developer.ibm.com/components/node-red
    Mon Jan 12 13:04:40 GMT 2026
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  4. Using KBinsDiscretizer to discretize continuous...

    = KBinsDiscretizer ( n_bins = 10 , encode = "onehot"..., sharey = True , figsize = ( 10 , 4 )) line = np . linspace (...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization.html
    Mon Jan 12 10:07:40 GMT 2026
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  5. MiniBatchSparsePCA — scikit-learn 1.8.0 d...

    max_no_improvement = 10 ) [source] # Mini-batch Sparse...max_no_improvement int or None, default=10 Control early stopping based...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchSparsePCA.html
    Mon Jan 12 10:07:40 GMT 2026
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  6. Demo of HDBSCAN clustering algorithm — sc...

    subplots ( figsize = ( 10 , 4 )) labels = labels if labels...subplots ( 3 , 1 , figsize = ( 10 , 12 )) dbs = DBSCAN ( eps =...
    scikit-learn.org/stable/auto_examples/cluster/plot_hdbscan.html
    Mon Jan 12 10:07:40 GMT 2026
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  7. How to run AI inferencing on IBM Power10 levera...

    It typically takes 10 minutes per inspection for a...canoeing, and the inferencing takes 10 seconds utilizing all four vCPUs....
    developer.ibm.com/blogs/run-ai-inferencing-on-power10-leveraging-mma/
    Mon Jan 05 14:11:27 GMT 2026
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  8. DictionaryLearning — scikit-learn 1.8.0 d...

    transform_n_nonzero_coefs=int(n_features / 10) . transform_alpha float, default=None...n_features = 20 , n_nonzero_coefs = 10 , ... random_state = 42 , ......
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.DictionaryLearning.html
    Mon Jan 12 10:07:38 GMT 2026
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  9. Visualizing cross-validation behavior in scikit...

    ([ 2 ] * 10 ) groups = np . repeat ( np . arange ( 10 ), rng ....unevenly across datapoints, and 10 “groups” split evenly across...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cv_indices.html
    Mon Jan 12 10:07:38 GMT 2026
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  10. load_digits — scikit-learn 1.8.0 document...

    default=10 The number of classes to return. Between 0 and 10. return_X_y...sklearn.datasets. load_digits ( * , n_class = 10 , return_X_y = False , as_frame...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html
    Mon Jan 12 10:07:40 GMT 2026
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