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PredictionErrorDisplay — scikit-learn 1.7.0 doc...
y_true == y_pred . Therefore, it is a diagonal line for kind="predictions"...X , y = load_diabetes ( return_X_y = True ) >>> ridge = Ridge...scikit-learn.org/stable/modules/generated/sklearn.metrics.PredictionErrorDisplay.html -
plot_pca_iris.zip
py """ ========== Principal Component Analysis...Analysis (PCA) on Iris Dataset ========== This example shows a well known...scikit-learn.org/stable/_downloads/99402c7ce7a6ab7fafcb48caa3c9447b/plot_pca_iris.zip -
HuberRegressor vs Ridge on dataset with strong ...
n_samples = 20 , n_features = 1 , random_state = 0 , noise = 4.0 ,...): huber = HuberRegressor ( alpha = 0.0 , epsilon = epsilon )...scikit-learn.org/stable/auto_examples/linear_model/plot_huber_vs_ridge.html -
MNIST classification using multinomial logistic...
sparsity = np . mean ( clf . coef_ == 0 ) * 100 score = clf . score...return_X_y = True , as_frame = False ) random_state = check_random_state...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html -
Demonstration of multi-metric evaluation on cro...
alpha = 0.1 if sample == "test" else 0 , color = color , )...style , color = color , alpha = 1 if sample == "test" else 0.7...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
spectral_embedding — scikit-learn 1.7.0 documen...
n_components = 8 , eigen_solver = None , random_state = None , eigen_tol...eigen_tol = 'auto' , norm_laplacian = True , drop_first = True )...scikit-learn.org/stable/modules/generated/sklearn.manifold.spectral_embedding.html -
Lagged features for time series forecasting — s...
cv = ts_cv , scoring = scoring , n_jobs = 2 , ) time = cv_results...https://openml.org/search?type=data&status=active&id=44063 ). The sha256...scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html -
Clustering text documents using k-means — sciki...
subset = "all" , categories = categories , shuffle = True , random_state...( km , X , name = None , n_runs = 5 ): name = km . __class__ ....scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html -
enet_path — scikit-learn 1.7.0 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.enet_path.html -
LocallyLinearEmbedding — scikit-learn 1.7.0 doc...
n_neighbors = 5 , n_components = 2 , reg = 0.001 , eigen_solver = 'auto'...'auto' , tol = 1e-06 , max_iter = 100 , method = 'standard' , hessian_tol...scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html