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  1. sparse_encode — scikit-learn 1.7.0 documentation

    n_nonzero_coefs = None , alpha = None , copy_cov = True , init = None ,...dictionary , * , gram = None , cov = None , algorithm = 'lasso_lars' ,...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.sparse_encode.html
    Thu Jul 03 11:42:06 UTC 2025
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  2. SVM: Weighted samples — scikit-learn 1.7.0 docu...

    n_features = 2 , n_informative = 2 , n_redundant = 0 , n_clusters_per_class...n_clusters_per_class = 1 , class_sep = 1.1 , weights = [ 0.9 , 0.1 ],...
    scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html
    Thu Jul 03 11:42:05 UTC 2025
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  3. ensemble.rst.txt

    calculated as follows: ========== ========== ========== ==========..... _ensemble: ========== Ensembles: Gradient boosting, random...
    scikit-learn.org/stable/_sources/modules/ensemble.rst.txt
    Thu Jul 03 11:42:05 UTC 2025
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  4. fastica — scikit-learn 1.7.0 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/fastica-function.html
    Thu Jul 03 11:42:06 UTC 2025
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  5. TimeSeriesSplit — scikit-learn 1.7.0 documentation

    TimeSeriesSplit(gap=0, max_train_size=None, n_splits=5, test_size=None) >>>...n_splits = 5 , * , max_train_size = None , test_size = None , gap...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html
    Thu Jul 03 11:42:05 UTC 2025
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  6. Visualizing the probabilistic predictions of a ...

    low =- 1 , high = 1 , size = ( n_samples , 2 )), columns = feature_names...noise = rng . normal ( loc = 0 , scale = 0.1 , size = ( n_samples...
    scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html
    Thu Jul 03 11:42:05 UTC 2025
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  7. Face completion with a multi-output estimators ...

    targets = fetch_olivetti_faces ( return_X_y = True ) train = data...n_faces = 5 rng = check_random_state ( 4 ) face_ids = rng . randint...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html
    Thu Jul 03 11:42:06 UTC 2025
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  8. Feature agglomeration vs. univariate selection ...

    n_samples = 200 size = 40 # image size roi_size = 15 snr = 5.0 np...sigma = 1.0 ) . ravel () X -= X . mean ( axis = 0 ) X /= X . std...
    scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection....
    Thu Jul 03 11:42:05 UTC 2025
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  9. MiniBatchDictionaryLearning — scikit-learn 1.7....

    n_components = None , * , alpha = 1 , max_iter = 1000 , fit_algorithm...fit_algorithm = 'lars' , n_jobs = None , batch_size = 256 , shuffle...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html
    Thu Jul 03 11:42:06 UTC 2025
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  10. Selecting dimensionality reduction with Pipelin...

    LinearSVC(dual=False, max_iter=10000))]), n_jobs=1, param_grid=[{'classify__C':...LinearSVC X , y = load_digits ( return_X_y = True ) pipe = Pipeline...
    scikit-learn.org/stable/auto_examples/compose/plot_compare_reduction.html
    Thu Jul 03 11:42:05 UTC 2025
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