Computation times¶

Lasso on dense and sparse data (plot_lasso_dense_vs_sparse_data.py)

00:02.958

0.0 MB

Lasso model selection: Cross-Validation / AIC / BIC (plot_lasso_model_selection.py)

00:01.388

0.0 MB

L1 Penalty and Sparsity in Logistic Regression (plot_logistic_l1_l2_sparsity.py)

00:00.623

0.0 MB

Orthogonal Matching Pursuit (plot_omp.py)

00:00.558

0.0 MB

Plot Ridge coefficients as a function of the L2 regularization (plot_ridge_coeffs.py)

00:00.391

0.0 MB

Plot multinomial and One-vs-Rest Logistic Regression (plot_logistic_multinomial.py)

00:00.326

0.0 MB

Joint feature selection with multi-task Lasso (plot_multi_task_lasso_support.py)

00:00.303

0.0 MB

Curve Fitting with Bayesian Ridge Regression (plot_bayesian_ridge_curvefit.py)

00:00.287

0.0 MB

Sparsity Example: Fitting only features 1 and 2 (plot_ols_3d.py)

00:00.256

0.0 MB

Plot Ridge coefficients as a function of the regularization (plot_ridge_path.py)

00:00.176

0.0 MB

Regularization path of L1- Logistic Regression (plot_logistic_path.py)

00:00.133

0.0 MB

Robust linear model estimation using RANSAC (plot_ransac.py)

00:00.119

0.0 MB

Lasso path using LARS (plot_lasso_lars.py)

00:00.105

0.0 MB

Logistic Regression 3-class Classifier (plot_iris_logistic.py)

00:00.095

0.0 MB

SGD: Weighted samples (plot_sgd_weighted_samples.py)

00:00.083

0.0 MB

MNIST classification using multinomial logistic + L1 (plot_sparse_logistic_regression_mnist.py)

00:00.009

0.0 MB

Early stopping of Stochastic Gradient Descent (plot_sgd_early_stopping.py)

00:00.008

0.0 MB

Poisson regression and non-normal loss (plot_poisson_regression_non_normal_loss.py)

00:00.006

0.0 MB