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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 -
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 -
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 -
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 -
MultiTaskElasticNet — scikit-learn 1.6.1 docume...
copy_X = True , max_iter = 1000 , tol = 0.0001 , warm_start = False...l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNet.html -
Lasso on dense and sparse data — scikit-learn 1...
y = make_regression ( n_samples = 200 , n_features = 5000...coo_matrix ( X ) alpha = 1 sparse_lasso = Lasso ( alpha = alpha , fit_intercept...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html -
partial_dependence — scikit-learn 1.6.1 documen...
sample_weight = None , categorical_features = None , feature_names = None...grid_resolution = 100 , method = 'auto' , kind = 'average' ) [source]...scikit-learn.org/stable/modules/generated/sklearn.inspection.partial_dependence.html -
Visualization of MLP weights on MNIST — scikit-...
max_iter = 8 , alpha = 1e-4 , solver = "sgd" , verbose = 10 , random_state...return_X_y = True , as_frame = False ) X = X / 255.0 # Split data...scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html -
check_X_y — scikit-learn 1.6.1 documentation
accept_sparse = False , * , accept_large_sparse = True , dtype = 'numeric'...'numeric' , order = None , copy = False , force_writeable = False , force_all_finite...scikit-learn.org/stable/modules/generated/sklearn.utils.check_X_y.html