Computation times

00:08.937 total execution time for 10 files from examples/mlearning/regression_model:

Example	Time	Mem (MB)
Function chaos expansion (plot_fce_regression.py)	00:04.952	0.0
Mixture of experts (plot_moe.py)	00:01.694	0.0
Random forest (plot_random_forest_regression.py)	00:00.931	0.0
Radial basis function (RBF) regression (plot_rbf_regression.py)	00:00.311	0.0
Gaussian process (GP) regression (plot_gp_regression.py)	00:00.293	0.0
Advanced mixture of experts (plot_advanced_moe.py)	00:00.224	0.0
Linear regression (plot_linear_regression.py)	00:00.192	0.0
Polynomial chaos expansion (PCE) (plot_pce_regression.py)	00:00.185	0.0
Polynomial regression (plot_polynomial_regression.py)	00:00.148	0.0
High-level functions (plot_regression_api.py)	00:00.008	0.0