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Seeking global perspectives from the community ...
<div class="svg-sprite" id="svg-sprite-container" style="display:none"></div>...type="text/javascript"> !function() { var static_server = 'dh...metatalk.metafilter.com/26506/Seeking-global-perspectives-from-the-community -
check_X_y — scikit-learn 1.5.2 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 -
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 -
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 -
Train error vs Test error — scikit-learn 1.5.2 ...
n_informative = 50 , shuffle = False , noise = 1.0 , coef = True , )...l1_ratio = 0.7 , max_iter = 10000 ) train_errors = list () test_errors...scikit-learn.org/stable/auto_examples/model_selection/plot_train_error_vs_test_error.html -
Gaussian Mixture Model Selection — scikit-learn...
( X [ Y_ == i , 0 ], X [ Y_ == i , 1 ], 0.8 , color = color )...data = df , kind = "bar" , x = "Number of components" , y = "BIC...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html -
locally_linear_embedding — scikit-learn 1.5.2 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 -
partial_dependence — scikit-learn 1.5.2 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 -
1.11. Ensembles: Gradient boosting, random fore...
min_samples_leaf = 1 , ... max_depth = 2 , ... learning_rate = 1 , ......learning_rate = 1.0 , ... max_depth = 1 , random_state = 0 ) . fit...scikit-learn.org/stable/modules/ensemble.html -
MultiTaskLasso — scikit-learn 1.5.2 documentation
l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...precompute = 'auto' , Xy = None , copy_X = True , coef_init = None...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html