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Test with permutations the significance of a cl...
clf = SVC ( kernel = "linear" , random_state = 7 ) cv = StratifiedKFold...load_iris iris = load_iris () X = iris . data y = iris . target...scikit-learn.org/stable/auto_examples/model_selection/plot_permutation_tests_for_classification.html -
TfidfVectorizer — scikit-learn 1.6.1 documentation
min_df=1 , max_features=None , vocabulary=None , binary=False..., input='content' , encoding='utf-8' , decode_error='strict'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html -
TruncatedSVD — scikit-learn 1.6.1 documentation
n_components = 2 , * , algorithm = 'randomized' , n_iter = 5 , n_oversamples...( 50 )] = 0 >>> X = csr_matrix ( X_dense ) >>> svd = TruncatedSVD...scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html -
TheilSenRegressor — scikit-learn 1.6.1 document...
n_subsamples = None , max_iter = 300 , tol = 0.001 , random_state = None...fit_intercept = True , copy_X = 'deprecated' , max_subpopulation = 10000.0...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
governance.rst.txt
_governance: ========== Scikit-learn governance and decision-making...decision-making ========== The purpose of this document is to formalize...scikit-learn.org/stable/_sources/governance.rst.txt -
Failure of Machine Learning to infer causal eff...
< 0 ] = 0 abilities = rng . normal ( 0 , 0.15 , size = n_samples...grid = sns . pairplot ( df , diag_kind = "kde" , corner = True...scikit-learn.org/stable/auto_examples/inspection/plot_causal_interpretation.html -
SpectralCoclustering — scikit-learn 1.6.1 docum...
n_clusters = 3 , * , svd_method = 'randomized' , n_svd_vecs = None...mini_batch = False , init = 'k-means++' , n_init = 10 , random_state...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html -
Image denoising using kernel PCA — scikit-learn...
random_state = 0 , train_size = 1_000 , test_size = 100 ) rng = np ....axs = plt . subplots ( nrows = 10 , ncols = 10 , figsize = ( 8...scikit-learn.org/stable/auto_examples/applications/plot_digits_denoising.html -
locally_linear_embedding — scikit-learn 1.6.1 d...
reg = 0.001 , eigen_solver = 'auto' , tol = 1e-06 , max_iter...max_iter = 100 , method = 'standard' , hessian_tol = 0.0001 , modified_tol...scikit-learn.org/stable/modules/generated/sklearn.manifold.locally_linear_embedding.html -
MultiTaskElasticNetCV — scikit-learn 1.6.1 docu...
l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...fit_intercept = True , max_iter = 1000 , tol = 0.0001 , cv = None ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNetCV.html