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fbeta_score — scikit-learn 1.7.2 documentation
labels = None , pos_label = 1 , average = 'binary' , sample_weight...average = "macro" , ... zero_division = np . nan , ... beta = 0.5...scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html -
locally_linear_embedding — scikit-learn 1.7.2 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 -
Feature importances with a forest of trees — sc...
n_repeated = 0 , n_classes = 2 , random_state = 0 , shuffle = False ,...n_repeats = 10 , random_state = 42 , n_jobs = 2 ) elapsed_time = time...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.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 -
RadiusNeighborsClassifier — scikit-learn 1.7.2 ...
leaf_size = 30 , p = 2 , metric = 'minkowski' , outlier_label = None...radius = 1.0 , * , weights = 'uniform' , algorithm = 'auto' ,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.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 -
MultiTaskLasso — scikit-learn 1.7.2 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 -
check_X_y — scikit-learn 1.7.2 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 -
partial_dependence — scikit-learn 1.7.2 documen...
sample_weight = None , categorical_features = None , feature_names = None...grid_resolution = 100 , custom_values = None , method = 'auto' , kind...scikit-learn.org/stable/modules/generated/sklearn.inspection.partial_dependence.html -
MiniBatchKMeans — scikit-learn 1.7.2 documentation
n_clusters = 8 , * , init = 'k-means++' , max_iter = 100 , batch_size...batch_size = 1024 , verbose = 0 , compute_labels = True , random_state...scikit-learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html